Aiforkids - Recent activity in Artificial Intelligence

Answer selected: _____ is not a Learning-based Approach where the AI model gets trained on the data fed to it and then is able to design a model which is adaptive to the change in data.

Wed, 01 Jul 2026 00:06:38 +0000

(d) Enforcement Learning

Explanation

Supervised Learning: This is a learning-based approach where the AI model is trained on a labeled dataset. The model learns to map inputs to outputs based on those labels and can adapt as it sees more data.
Unsupervised Learning: In this approach, the model finds patterns or structures in data that is not labeled. It also qualifies as a learning-based method since the model adapts based on the data’s inherent structure.
Reinforcement Learning: This is another learning-based approach where the model learns by interacting with an environment and receiving rewards or punishments. Over time, it adapts its behavior to maximize rewards.
Enforcement Learning: Unlike the above, "Enforcement Learning" is not a recognized method in the AI or machine learning domain. It is likely a distractor in this question. As such, it does not represent a valid learning-based approach where the model adapts based on data or feedback.

Thus, Enforcement Learning is the one that is not a learning-based approach.

What is machine learning solution?

Tue, 10 Feb 2026 09:40:12 +0000

i want to know more about machine learning solutions and problems it deals.

Answered: 1. What is the purpose of defining the problem statement during the Problem Scoping stage in an AI project cycle? A) To collect data B) To understand the aim and objective of the project C) To train the model D) To process data

Fri, 16 Jan 2026 04:30:00 +0000

Ans. B)

To understand the aim and objective of the project

Answer selected: List some common symptoms of physical stress?

Sat, 15 Mar 2025 09:19:57 +0000

Common symptoms of physical stress are-

Headache
Chest pain
Upset stomach
Disturbed sleep
Low energy.

Answer selected: What is non-verbal communication? Class 10 AI

Sat, 15 Mar 2025 09:08:47 +0000

In non-verbal communication, information is exchanged by using all other things except words.

It includes-

Gestures
Facial Expressions
Body language
Eye gaze

Study more about Communication Skills at Communication Skills Class 10

Answer selected: What are the different stress management techniques?

Sat, 15 Mar 2025 08:49:20 +0000

Some of the stress management techniques are –

Time management
Organizing academic life, no delaying
Healthy diet
Positivity in your life
Physical exercise and fresh air
Proper sleep
Holidays with family and friends

Answer selected: Our emotional, mental, physical, and social responses to perceived demands or threats are referred to as__________.

Sat, 15 Mar 2025 08:46:25 +0000

Our emotional, mental, physical, and social responses to perceived demands or threats are referred to as Stress

Explanation:-

Stress is a feeling of emotional or physical tension. It can come from any event or thought that makes you feel frustrated, angry, or nervous

Answer selected: What are the qualities of Self – motivated people?

Sat, 15 Mar 2025 08:45:35 +0000

The qualities of Self-motivated people are-

They know what they want from life
They are focused
They know what is important They a
re dedicated to fulfill their dreams

Answer selected: Why we are facing scarcity of natural elements today?

Sat, 15 Mar 2025 08:26:25 +0000

We are facing scarcity of natural elements due to-

Neglecting the vitality of these elements
Fulfilling the unending wants
Exploiting the nature

Answer selected: Name four primary goals of sustainability.

Sat, 15 Mar 2025 08:25:53 +0000

The primary goals of sustainability are-

The end of poverty and hunger
Better standards of education and healthcare- Particularly as it pertains to water quality and better sanitation
To achieve gender equality
Sustainable economic growth while promoting jobs and stronger economies

Answered: Artificial Intelligence 2025 Board Exams Revision Plan

Mon, 10 Mar 2025 11:31:47 +0000

Welcome to this power-packed Artificial Intelligence Class 10 Board Exam 2025 study plan session! 🎯 In this session, I'll break down everything you need to crush the AI 417 Board Exam, including the syllabus, revision plan, and must-watch lectures to help you ace your preparation. 🔹 Class: 10 (CBSE AI 417) 🔹 Subject: Artificial Intelligence 🔹 Instructor: Lalit Kumar 🔹 Session Type: Video Lecture 🔹 Series: AI Boards 2025 🔹 Topic: AI Syllabus Breakdown & Study Plan 📌 What You'll Learn in This Session: ✅ Complete AI 417 Syllabus Overview (2025 Board Exam) ✅ Smart Revision Plan to cover all topics efficiently ✅ Essential resources for Natural Language Processing (NLP) ✅ Practice Questions, Notes, and Video Lectures for better understanding ✅ Best way to manage time & complete your AI syllabus on time! 🔥 Must-Have Study Resources (Downloads & Practice): 📌 Natural Language Processing (NLP) Notes & Questions: 📝 Revision Notes PDF: https://aiforkids.in/notes/nlp-class-10 ❓ Question Bank (Practice Questions): https://aiforkids.in/practice/nlp/ 📖 Full Notes: https://aiforkids.in/class-10/nlp/ 🤖 Community Q&A for NLP: https://aiforkids.in/qa/tag/nlp 📺 Must-Watch Video Lectures to Score High! 🎥 Class 10 AI Board Exam Playlist: https://youtube.com/playlist?list=PLO... 🔹 Project Cycle Lecture: https://www.youtube.com/playlist?list... 🔹 Project Cycle Practice Video: https://www.youtube.com/watch?v=6B6Km... 🔹 Evaluation Lecture: https://youtu.be/IB-mqjvvPAI 🔹 NLP Lecture: https://youtu.be/9jvuleVQWyE 💡 About Aiforkids Aiforkids is on a mission to empower students with cutting-edge AI education and make them future-ready! 🚀 👨‍🏫 Team Behind the AI Revolution: ▶️ Lalit Kumar – AI Educator & Video Editor | Instagram: https://www.instagram.com/lalitkoffic... ▶️ Rohit Yadav – Notes & Question Bank ▶️ Taniya – Graphics & Visuals 🌍 Join Our AI Learning Community: 🔹 Website: https://aiforkids.in 🔹 Discord: https://discord.gg/VQ5CxzTAqf 🔹 Twitter: https://twitter.com/aiforkids_in 🔹 Reddit: https://reddit.com/c/aiforkids_in 🔹 Q&A Platform: https://aiforkids.in/qa 🔹 Curriculum & Study Plan: https://aiforkids.in/cbse-ai 🔹 Contact Us: https://aiforkids.in/contact 📧 For Queries & Collaborations: care@aiforkids.in 🔥 Get Ready to Ace Your AI 417 Board Exams in 2025! See you in the session! 🚀 #AI417 #ArtificialIntelligence #CBSEClass10 #AIBoardExam #AIforKids #AIExamPreparation #AIStudyPlan #CBSE2025 #Class10AI #BoardExamTips

Answered: Problem scoping is the stage where

Thu, 26 Sep 2024 01:35:56 +0000

1. The problem can be identified and goals can be set

Answer selected: What are the Advantages and disadvantages of ICT?

Thu, 20 Jun 2024 16:41:02 +0000

Advantages of ICT	Disadvantages of ICT
Enhanced the modes of communication.	Traditional books and handwritten methods are at risk.
Independent learning platforms Cost – efficient.	Managing courses online is difficult.
Enhanced data and information security.	Teachers require experience to handle ICT.
Paperless – Eliminate the usage of paper.	Risk of cyber attacks and hacks
Better teaching and learning methods.	Misuse of technology.

Answered: AI Answer Key and Paper Solution 2024 Set 4

Wed, 13 Mar 2024 07:13:42 +0000

Artificial Intelligence Class 10 2024 Answer Key SET 4

Answered: Face of ai Ai Domin

Tue, 12 Mar 2024 14:21:31 +0000

are are you asking the major domain of an ai or wt are the domains of then ai ! if are asking the domains then there are three domains

1)NLP

2) cv

3) data science

Answered: Give an example where High Accuracy is not usable.

Fri, 08 Mar 2024 12:31:23 +0000

Let us go back to the Forest Fire example. Assume that the model always predicts that there is no fire.

But in reality, there is a 2% chance of forest fire breaking out. In this case, for 98 cases, the model will be right but for those 2 cases in which there was a forest fire, then too the model predicted no fire.

Here,

True Positives = 0
True Negatives = 98
Total cases = 100
Therefore, accuracy becomes: (98 + 0) / 100 = 98%

This is a fairly high accuracy for an AI model.

But this parameter is useless for us as the actual cases where the fire broke out are not taken into account.

Hence, there is a need to look at another parameter which takes account of such cases as well known as precision.

Study more about Evaluation at Evaluation Class 10

Answer edited: Out of 300 images of Lions and Tigers, the model identified 267 images correctly. What is the accuracy of the model?

Fri, 08 Mar 2024 12:16:29 +0000

Accuracy = Total Correct Predictions / The no. of predictions = 267/300 = 0.89

Study more about Evaluation at Evaluation Class 10

Answer edited: There are 400 images of fruits the AI model is able to predict correctly so the accuracy of the model is exactly 0.5. How many correct predictions does the machine make?

Fri, 08 Mar 2024 12:16:02 +0000

Accuracy = Total Correct Predictions / The no. of predictions

0.5 = Total Correct Predictions / 400

Total Correct Prediction = 400 x 0.5 = 200

So the total correct predictions made by machine are 200.

Study more about Evaluation at Evaluation Class 10

Answer selected: what is mercury

Tue, 05 Mar 2024 09:33:25 +0000

Mercury is a thermometric liquid used in a thermometer.
It is used due to it conducts heat so when there is heat in the surrounding nature It will expand and show the temperature.
Alcohol can be also used as a thermometric liquid

Answered: AI Revision for Class 10 2024 Board Exam in One Day

Tue, 05 Mar 2024 05:59:12 +0000

PLAYLIST LINK - https://www.youtube.com/playlist?list=PLO7HHXt7m9GxBD6mLxy6h2B9DJoRNCfHe

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This allows you to assess your progress and identify any areas that may require further review. With our videos, you can feel confident and well-prepared for the Class 10 2024 Board Exam, knowing that you have utilized the most effective and efficient study resource available.

Answer selected: please refer a QUESTION BANK and SAMPLE PAPER book for 2023-24

Tue, 05 Mar 2024 05:43:38 +0000

Hello,
You can Access Set of Sample Papers from Aiforkids Telegram (https://t.me/aiforkids)

Answer selected: Sagar is collecting data from social media platforms. He collected a large amount of data. but he wants specific information from it. Which NLP application would help him?

Wed, 13 Sep 2023 09:27:11 +0000

Automatic Summarization

Automatic summarization is the process of shortening a set of data computationally, to create a subset that represents the most important or relevant information within the original content.

Study more about NLP at NLP Class 10

Edited: What do you understand by AI bias? Discuss in detail with some examples.

Thu, 27 Jul 2023 02:18:05 +0000

What do you understand by AI bias? Discuss in detail with some examples.

Topic	Introduction to AI (Basics of AI)
Type	Long answer type
Class	10

Answered: Having a conversation with more than two people is a type of ______________ communication.

Tue, 25 Jul 2023 10:32:53 +0000

Opt. C - SMALL GROUP COMMUNICATION

Answered: Give some examples of AI Bias

Wed, 12 Jul 2023 10:30:16 +0000

‍1. Amazon’s algorithm discriminated against women:

Employment is one of the most common areas for bias to manifest in modern life. Despite progress over the past couple of decades, women are still underrepresented in roles relating to STEM (science, technology, engineering and mathematics). According to Deloitte, for example, women accounted for less than a quarter of technical roles in 2020.

That wasn’t helped by Amazon’s automated recruitment system, which was intended to evaluate applicants based on their suitability for various roles. The system learned how to judge if someone was suitable for a role by looking at resumes from previous candidates. Sadly, it became biased against women in the process.

Because women had previously been underrepresented in technical roles, the AI system thought that male applicants were consciously preferred. Consequently, it penalized resumes from female applicants with a lower rating. Despite making changes, it was no surprise that Amazon eventually ditched the initiative in 2017.

2. COMPAS race bias with reoffending rates:

It’s not just gender bias that can be reflected by artificial intelligence. There are several AI bias examples relating to race too.

The Correctional Offender Management Profiling for Alternative Sanctions (COMPAS) predicted the likelihood that US criminals would re-offend. In 2016, ProPublica investigated COMPAS and found that the system was far more likely to say black defendants were at risk of reoffending than their white counterparts.

While it correctly predicted reoffending at a rate of around 60% for both black and white defendants, COMPAS:

Misclassified almost twice as many black defendants (45%) as higher risk compared to white defendants (23%)
Mistakenly labeled more white defendants as low risk, who then went on to reoffend – 48% white defendants compared to 28% black defendants
Classified black defendants as higher risk when all other variables (such as prior crimes, age, and gender) were controlled – 77% more likely than white defendants.

3. US healthcare algorithm underestimated black patients’ needs:

AI can also reflect racial prejudices in healthcare, which was the case for an algorithm used by US hospitals. Used for over 200 million people, the algorithm was designed to predict which patients needed extra medical care. It analyzed their healthcare cost history – assuming that cost indicates a person’s healthcare needs.

However, that assumption didn’t account for the different ways in which black and white patients pay for healthcare. A 2019 paper in Science explains how black patients are more likely to pay for active interventions like emergency hospital visits – despite showing signs of uncontrolled illnesses.

As a result, black patients:

Received lower risk scores than their white counterparts
Were put on par with healthier white people in terms of costs
Did not qualify for extra care as much as white patients with the same needs

4. ChatBot Tay shared discriminatory tweets:

While Twitter has made recent headlines due to Elon Musk’s acquisition, Microsoft’s attempt to showcase a chatbot on the platform was even more controversial.

In 2016, they launched Tay, intended to learn from its casual, playful conversations with other users of the app.

Initially, Microsoft noted how “relevant public data” would be “modeled, cleaned and filtered”. However, within 24 hours, the chatbot was sharing tweets that were racist, transphobic and antisemitic. It learned discriminatory behavior from its interactions with users, many of whom were feeding it inflammatory messages.

Closed: what is evaluation

Sun, 09 Jul 2023 03:15:08 +0000

what is evaluation? what are its terminologies?

Answer edited: Name the applications of AI ?

Sun, 25 Jun 2023 00:18:15 +0000

Artificial Intelligence is a vast field and a developing technology ! It help peoples in many ways and provide them with services.

AI in Gaming

Playing games with AI Bots is the usage of Ai in Gaming.
Ai can think large number of possible moves with restrict knowledge.
Ai is trained with data about the position, strategies, concepts and rules of the game and is made to play with a partner.
These Ai Bots can be digital or physical but generally they are digital.

However there game-play relies on the data feeded and the algorithm developed by their developers. Some advance Ai game-bots set their difficulty level by analyzing the game-play of their competitors

Example: Ai game-bots are used in digital games like chess, poker, tic-tac-toe.

Ai in NLP

Two understand naturally spoken language of humans by machines is known as Natural Language Processing (NLP)

Recommended Natural Language Processing (NLP)

AI helps the machine to understand the commands in the naturally spoken language of humans.

AI in Expert system

Ai is now inheriting the decision-making capacity of humans used it in providing explanations and solutions of the problems to its user.
Example: Self-driving cars

AI in Health-Care

One of the most prominent use of Ai can be seen in the healthcare industry
With the use of ai, our doctors are getting help in various tasks like fast diagnosis of various diseases.

Robotic Surgery: With help of certain machines surgeons can now perform surgeries from a distance!

AI in Finance

In finance ai is used as adaptive intelligence to make automating chat-bots and algorithms.

AI in Data Security

Companies and government are using Ai to improve the data-security of applications and huge data-bases.
Example: AEG bot and AI2. This ai-bots can find cyber-bugs in a system and thus help to improve data-security

AI in Expert System

Integration of special software, machine and special information obtained from learning algorithms to provide reasoning and advices

Computer Vision

Using of Ai in Computer-Vision means to train the system such that, it can perform visual tasks such as image Processing, face-recognition

Example: Face-locks of different devices

Speech Recognition

Extracting the real meaning of sentence by human talk.
Example: Siri, Google Assistant, Alexa, Cortana

Robotics

Today's robots are based on Ai technologies, which uses different applications of AI discussed above, depending upon their work.
Today's most advance robot is Erica and Sophia. They can talk and behave like humans so they are also called as Humanoid.

Ai in E-commerce

AI uses a algorithm and automatically generates the a list of items based on your search or history. It also handles the service requirements

Example: Youtube's feed, Filpcarts products on the home page, Google ads etc.

Learn more about AI Applications at AI Applications Class 10

Answer edited: How do you select important variables while working on a data set?

Thu, 06 Apr 2023 13:11:18 +0000

There are various means to select important variables from a data set that include the following:

Identify and discard correlated variables before finalizing on important variables
The variables could be selected based on ‘p’ values from Linear Regression
Forward, Backward, and Stepwise selection
Lasso Regression
Random Forest and plot variable chart
Top features can be selected based on information gain for the available set of features.

Answer selected: What is supervised learning and Unsupervised learning in Machine learning ?

Sun, 26 Mar 2023 12:32:44 +0000

Supervised Learning	Unsupervised Learning
Supervised learning is where a computer algorithm is trained on input data that has been labeled for a particular output. Classification and Regression models are also types of supervised learning.	In terms of machine learning, unsupervised learning is in which a system learns through data sets created on its own. In this, the training is not labeled. It is divided into clustering and dimensionality reduction.
For example- A shape with three sides is labeled as a triangle.	Learning on its own is termed Unsupervised learning

Study more about ML at ML Class 10

Answer edited: Assertion (A): System maps tool helps figure out the relationship of elements with the project’s goal.Reason (R): Positive arrows determine a direct relationship of elements while the negative arrows show an inverse relationship of elements.

Sat, 18 Mar 2023 13:18:05 +0000

The correct option is Option 3 Both A and R are true.

Study more about AI Project Cycle at AI Project Cycle Class 9

Answer selected: Samiksha, a student of class X was exploring the Natural Language Processing domain.

Mon, 13 Mar 2023 08:45:15 +0000

1. Tokenisation

Akash, and, Ajay, are, best, friends Akash, likes, to, play, football, but, Ajay, prefers, to, play, online, games

2. Removal of stopwords

Akash, Ajay, best, friends Akash, likes, play, football, Ajay, prefers, play, online, games

3. Converting text to a common case

akash, ajay, best, friends akash, likes, play, football, ajay, prefers, play, online, games

4. Stemming/Lemmatisation

akash, ajay, best, friend akash, like, play, football, ajay, prefer, play, online, game

(1 mark for each step; 1*4=4)

Learn more about Bag of Words at NLP NLP Processing Class 10

Answer edited: Class 10: AI Answer Key / Paper Solution in 10 MINS

Mon, 13 Mar 2023 07:31:34 +0000

Click the Image Below to Open YouTube Solution <33

Class 10: AI Answer Key / Paper Solution and Analysis with discussion of Artificial Intelligence Exam Paper of Class 10 AI Board Exam | Artificial Intelligence Board Exam AI 417 2023

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Answered: Saurabh is working on NLP based project. He wanted to know about the concept where the entire corpus is being divided into sentences. Help hip and explain the concept.

Sun, 12 Mar 2023 01:34:47 +0000

This is done under Sentence segmentation, where the whole corpus is reduced into sentences

Answered: Ayushi was learning about NLP. She wanted to know the term used for the whole textual data from all the documents altogether. Help her in identifying the term used for it.

Sun, 12 Mar 2023 01:33:03 +0000

ANSWER = CORPUS

Answered: 9. Document 1: Amit and Amita are twins Document 2: Amit lives with his grandparents in Shimla. Document 3: Amita lives with her parents in Delhi. Create a step-by-step approach to implement a bag of words algorithm.

Fri, 10 Mar 2023 09:56:20 +0000

The bag of words algorithm is a popular approach used in natural language processing to represent text data as a set of features or vectors that can be used in machine learning models. Here are the steps to implement the bag of words algorithm:

Collect the text documents you want to analyze. In this case, we have three documents about Amit and Amita.
Preprocess the text data by removing stop words, punctuation, and other irrelevant information. For example, we can remove "and" and "are" from Document 1, as they do not contribute to the meaning.
Tokenize the text data into individual words or terms. For example, we can tokenize Document 2 into "Amit", "lives", "with", "his", "grandparents", "in", and "Shimla".
<p style="border: 0px solid rgb(217, 217, 227); box-sizing: border-box; --tw-border-spacing-x:0; --tw-border-spacing-y:0; --tw-translate-x:0; --tw-translate-y:0; --tw-rotate:0; --tw-skew-x:0; --tw-skew-y:0; --tw-scale-x:1; --tw-scale-y:1; --tw-pan-x: ; --tw-pan-y: ; --tw-pinch-zoom: ; --tw-scroll-snap-strictness:proximity; --tw-ordinal: ; --tw-slashed-zero: ; --tw-numeric-figure: ; --tw-numeric-spacing: ; --tw-numeric-fraction: ; --tw-ring-inset: ; --tw-ring-offset-width:0px; --tw-ring-offset-color:#fff; --tw-ring-color:rgba(59,130,246,0.5); --tw-ring-offset-shadow:0 0 transparent; --tw-ring-shadow:0 0 transparent; --tw-shadow:0 0 transparent; --tw-shadow-colored

Answered: Search engines not only predict what popular searches may apply to your query as

Fri, 10 Mar 2023 09:52:18 +0000

(C)NATURAL LANGUAGE PROCESSING

Answer selected: Where was the UN Conference on Environment and Development held?

Thu, 09 Mar 2023 00:16:23 +0000

The concept of sustainable development formed the basis of the United Nations Conference on Environment and Development held in Rio de Janerio in 1922.

Study more about Green Skills at Green Skills Class 10

Answer selected: The ____ SDG goal aim to encourage economic growth and higher levels of productivity with technological innovations.

Thu, 09 Mar 2023 00:04:01 +0000

The Decent Work and Economic Growth Goal 8 SDG goal aim to encourage economic growth and higher levels of productivity with technological innovations.

Study more about SDG at SDG Class 10

Answer selected: Identify the type of chatbot with the information given below:

Wed, 08 Mar 2023 10:19:35 +0000

Script Bot

These bots work on pre-programmed instructions inside the application/machine and are generally easy to develop.
They are deployed in the customer care section of various companies.
Their job is to answer some basic queries that they are coded for and connect them to human executives once they are unable to handle the conversation.

Learn more at NLP Class 10 Video Lecture

Answer selected: Which block of 4ws problem canvas focuses on the context/situation/location of the problem?

Wed, 08 Mar 2023 10:15:56 +0000

Where

"Where" block of 4ws problem canvas focuses on the problem arises (context), situation and the location.

Explanation :-

The 4W's of Problem Scoping are Who, What, Where and Why. These Ws helps in identifying and understanding the problem in a better and efficient manner.

Who - "Who" part helps us in comprehending and categorizing who all are affected directly and indirectly with the problem and who are called the Stake Holders
What - "What" part helps us in understanding and identifying the nature of the problem and how do we get to know what helps to get us know the evidence.
Where - "Where" does the problem arises (context), situation and the location.
Why - "Why" is the given problem worth solving and tells about benefits to the stakeholders.

_{Study More about 4Ws of Problem Scoping at - Problem Scoping Class 9}

Watch the Video at https://www.youtube.com/watch?v=qFoIxZPt9Ho

Answered: Which of the following is the type of data used by NLP applications?

Mon, 06 Mar 2023 01:56:19 +0000

option d ) text and speech

Answered: _____ helps in assigning a predefined category to a document, organize it in such a way that helps customers to find information they want.

Mon, 06 Mar 2023 01:53:58 +0000

Text Classification is the answer

Answered: A corpus contains 12 documents. How many document vectors will be there for that corpus?

Mon, 06 Mar 2023 01:50:59 +0000

a)12 is the correct option.

Answered: Classify the following into Smart bot or Script bot accordingly?

Sun, 05 Mar 2023 12:13:02 +0000

There are two types of chatbots: Smart bots and Script bots.

Smart Bots:

Use AI and NLP to generate responses and improve over time.
Examples: Mitsuku Bot, Clever Bot, Jabberwacky, Haptik, and Rose.

Script Bots:

Use pre-programmed scripts for responses.
An example of a script bot is OChatbot, which relies on predetermined responses based on the script it is programmed with.

Learn more about NLP and smart bots here:

NLP NOTES: https://aiforkids.in/class-10/nlp/
NLP ChatBot notes: https://aiforkids.in/class-10/nlp/#chatbots
NLP Video : https://www.youtube.com/watch?v=9jvuleVQWyE

Answered: What will be the results of conversion of the term, ‘happily’ in the process of stemming and lemmatization? Which process takes longer time for execution?

Sun, 05 Mar 2023 10:03:00 +0000

Word	Stemming	Lemmatization
Happily	happi	happy

Process that takes longer time for execution is lemmatization, because the word generated (lemma) is a meaning full word, and doing that needs high level processing.

(½ marks each for identifying the correct stem and lemma; 1 mark for identifying the correct process)

Learn more about Bag of Words at NLP NLP Processing Class 10

Answer edited: What do we get from the “bag of words'' algorithm?

Sun, 05 Mar 2023 09:57:34 +0000

Bag of words gives us two things:

A vocabulary of words for the corpus
The frequency of these words (number of times it has occurred in the whole corpus)

Learn more about Bag of Words at NLP Bag of Words Class 10

Edited: What is the full form of TFIDF?

Sun, 26 Feb 2023 05:51:32 +0000

What is the full form of TFIDF?

Topic	Natural Language Processing (AI Domain)
Type	Short answer type
Class	10

Answer edited: What will be the output of the word “studies” if we do the following: a. Lemmatization b. Stemming

Sun, 26 Feb 2023 03:10:45 +0000

The Word "Studies" outputs the following after Lemmatization and Stemming :

(a) The output of the word after lemmatization will be study.

(b) The output of the word after stemming will be studi.

Learn more about Natural Language Processing at - NLP Class 10

Answer edited: What do you mean by document vectors?

Sun, 26 Feb 2023 02:37:34 +0000

Document Vector contains the frequency of each word of the vocabulary in a particular document.

In document, vector vocabulary is written in the top row. Now, for each word in the document, if it matches with the vocabulary, put a 1 under it. If the same word appears again, increment the previous value by 1. And if the word does not occur in that document, put a 0 under it.

Study more about Natural Language Processing at Natural Language Processing Class 10

Answer edited: What is a document vector table?

Sun, 26 Feb 2023 02:31:12 +0000

CHOOSE ANY ONE***

Document Vector Table is used while implementing the Bag of Words algorithm. In a document vector table, the header row contains the vocabulary of the corpus and other rows correspond to different documents. If the document contains a particular word it is represented by 1 and the absence of a word is represented by 0 value.

Document Vector Table is a table containing the frequency of each word of the vocabulary in each document.

Study more about Natural Language Processing at Natural Language Processing Class 10

Aiforkids - Recent activity in Artificial Intelligence

Answer selected: _____ is not a Learning-based Approach where the AI model gets trained on the data fed to it and then is able to design a model which is adaptive to the change in data.

Explanation

What is machine learning solution?

Answered: 1. What is the purpose of defining the problem statement during the Problem Scoping stage in an AI project cycle? A) To collect data B) To understand the aim and objective of the project C) To train the model D) To process data

Answer selected: List some common symptoms of physical stress?

Answer selected: What is non-verbal communication? Class 10 AI

Answer selected: What are the different stress management techniques?

Answer selected: Our emotional, mental, physical, and social responses to perceived demands or threats are referred to as__________.

Answer selected: What are the qualities of Self – motivated people?

Answer selected: Why we are facing scarcity of natural elements today?

Answer selected: Name four primary goals of sustainability.

Answered: Artificial Intelligence 2025 Board Exams Revision Plan

Answered: Problem scoping is the stage where

Answer selected: What are the Advantages and disadvantages of ICT?

Answered: AI Answer Key and Paper Solution 2024 Set 4

Answered: Face of ai Ai Domin

Answered: Give an example where High Accuracy is not usable.

Answer edited: Out of 300 images of Lions and Tigers, the model identified 267 images correctly. What is the accuracy of the model?

Answer edited: There are 400 images of fruits the AI model is able to predict correctly so the accuracy of the model is exactly 0.5. How many correct predictions does the machine make?

Answer selected: what is mercury

Answered: AI Revision for Class 10 2024 Board Exam in One Day

Answer selected: please refer a QUESTION BANK and SAMPLE PAPER book for 2023-24

Answer selected: Sagar is collecting data from social media platforms. He collected a large amount of data. but he wants specific information from it. Which NLP application would help him?

Edited: What do you understand by AI bias? Discuss in detail with some examples.

Answered: Having a conversation with more than two people is a type of ______________ communication.

Opt. C - SMALL GROUP COMMUNICATION

Answered: Give some examples of AI Bias

‍1. Amazon’s algorithm discriminated against women:

2. COMPAS race bias with reoffending rates:

3. US healthcare algorithm underestimated black patients’ needs:

4. ChatBot Tay shared discriminatory tweets:

Closed: what is evaluation

Answer edited: Name the applications of AI ?​

AI in Gaming

Ai in NLP

AI in Expert system

AI in Health-Care

AI in Finance

AI in Data Security

AI in Expert System

Computer Vision

Speech Recognition

Robotics

Ai in E-commerce

Answer edited: How do you select important variables while working on a data set?

Answer selected: What is supervised learning and Unsupervised learning in Machine learning ?

Answer edited: Assertion (A): System maps tool helps figure out the relationship of elements with the project’s goal.Reason (R): Positive arrows determine a direct relationship of elements while the negative arrows show an inverse relationship of elements.

Answer selected: Samiksha, a student of class X was exploring the Natural Language Processing domain.

Answer edited: Class 10: AI Answer Key / Paper Solution in 10 MINS

Answered: Saurabh is working on NLP based project. He wanted to know about the concept where the entire corpus is being divided into sentences. Help hip and explain the concept.

Answered: Ayushi was learning about NLP. She wanted to know the term used for the whole textual data from all the documents altogether. Help her in identifying the term used for it.

Answered: 9. Document 1: Amit and Amita are twins Document 2: Amit lives with his grandparents in Shimla. Document 3: Amita lives with her parents in Delhi. Create a step-by-step approach to implement a bag of words algorithm.

Answered: Search engines not only predict what popular searches may apply to your query as

Answer selected: Where was the UN Conference on Environment and Development held?

Answer selected: The ____ SDG goal aim to encourage economic growth and higher levels of productivity with technological innovations.

Answer selected: Identify the type of chatbot with the information given below:

Answer selected: Which block of 4ws problem canvas focuses on the context/situation/location of the problem?

Where

Answered: Which of the following is the type of data used by NLP applications?

Answered: _____ helps in assigning a predefined category to a document, organize it in such a way that helps customers to find information they want.

Answered: A corpus contains 12 documents. How many document vectors will be there for that corpus?

Answered: Classify the following into Smart bot or Script bot accordingly?

Answered: What will be the results of conversion of the term, ‘happily’ in the process of stemming and lemmatization? Which process takes longer time for execution?

Answer edited: What do we get from the “bag of words'' algorithm?

Edited: What is the full form of TFIDF?

Answer edited: What will be the output of the word “studies” if we do the following: a. Lemmatization b. Stemming

Answer edited: What do you mean by document vectors?

Answer edited: What is a document vector table?

Answer edited: Name the applications of AI ?