The document discusses context-based sentiment analysis and defines it as the computational identification and categorization of opinions in text to determine attitudes. It highlights the usefulness of sentiment analysis in predicting preferences. The document also outlines the approaches and results related to performing sentiment analysis.

1. Context Based Sentiment
Analysis
Under the Guidance
of
Dr. Krishna Asawa
(Deptt of CSE/IT)
Submitted by
AKSHAT BAKAYA

2. What is Sentiment Analysis?
• Sentiment Analysis is the process of
computationally identifying and categorizing
opinions expressed in a piece of text,
especially to determine whether the writer's
attitude towards a particular topic, product,
etc. is positive, negative, or neutral.

3. Emotions or Sentiments

4. Sentiments analysis can be useful
• They can help in predicting one’s likes or
dislikes

5. How can it be performed

6. Approach

7. Results