How can you filter text based on positive and negative sentiment scores using NLTK

Question

With the help of code, can you filter text based on positive and negative sentiment scores using NLTK?

Answer 1

To filter text based on positive and negative sentiment scores using NLTK, you can use the SentimentIntensityAnalyzer from the Vader module to calculate sentiment scores and filter based on thresholds. Here is the code snippet showing how it is done:

In the above code, we are using the following approaches:

• SentimentIntensityAnalyzer: Computes sentiment scores for text:
  • Compound: Overall sentiment score ranging from -1 (negative) to +1 (positive).
• Thresholding:
  • Positive texts: compound > 0.5.
  • Negative texts: compound < -0.5.
• Filtering: Use list comprehensions to filter texts based on the sentiment scores.

Here is the code output of the above:

Hence, by referring to the above, you can filter text based on positive and negative sentiment scores using NLTK.