Sentiment Analysis is a process in Natural Language Processing (NLP) that helps in determining the emotional tone of text and classifying it as positive, negative, or neutral.
Textblob Library
The TextBlob library is used for natural language processing (NLP) tasks, such as part-of-speech tagging, translation, and sentiment analysis. Before using this library, you need to install it using the following command:
pip install textblob
Write a program that takes a sentence input from the user and analyze the sentiment of the sentence.
blob = TextBlob(text): converts the text (string) into a TextBlob object called blob.
sentiment = blob.sentiment.polarity: This line extracts the polarity of the sentiment from the TextBlob object.
The .sentiment.polarity attribute returns a floating-point number between -1 and 1, indicating the sentiment of the text:
1 means the sentence is very positive.
-1 means the sentence is very negative.
0 means the sentence is neutral.
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