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SECTION B (Subjective Type Questions)
Short answer type questions.
1. What is the functionality of Meaning Cloud in the context of NLP?
2. Why are No-code NLP platforms beneficial for non-technical users?
3. What do you understand by the term sentiment analysis?
4. Write about any two of the sentiment analysis method.
5. What are the steps to follow in the process of data acquisition?
6. What are the steps to follow in the process of data exploration?
In Life 21 st Century #Critical Thinking
Skills
#Productivity & Accountability
How do sentiments influence consumer buying behaviour? Is it solely the sentiment ratings that determine the
performance of a product, or do other factors also play a role in shaping consumer decisions?
Deep Thinking 21 st Century
Skills #Critical Thinking
To what extent is it ethical for businesses to use NLP sentiment analysis to influence consumer behaviour, and what
potential risks might arise from manipulating sentiments in marketing strategies?
21 st Century #Technology Literacy
Skills
Lab
Sentiment Analysis for FIFA World Cup 2022 Tweets Using Orange Data Mining
The FIFA World Cup 2022 was one of the most talked-about sporting events globally, and social media
platforms, especially X (formerly Twitter), were filled with real-time reactions from fans, players, and critics.
Analysing these tweets provides insights into public opinion and sentiment surrounding the event. By
performing sentiment analysis, we can classify tweets as positive, neutral, or negative and understand how
different aspects of the World Cup were perceived.
Problem Statement
The objective is to analyse tweets related to the FIFA World Cup 2022 and classify them as positive,
neutral, or negative using machine learning techniques.
Dataset
The dataset used in this case study is the FIFA World Cup 2022 Tweets Dataset, which is available on
Kaggle. This dataset contains tweets related to the FIFA World Cup 2022 and provides valuable insights into
fans' reactions to the event.
Now, we classify tweets related to the FIFA World Cup 2022 into different sentiment categories using
the Orange Data Mining Tool.
Answers
Exercise (Section A)
1. c. 2. b. 3. c. 4. b. 5. b. 6. b. 7. c. 8. b.
412 Touchpad Artificial Intelligence (Ver. 3.0)-X

