How can you use NLTK to assign polarity scores to sentences for conditional text generation

Question

Can you tell me how can you use NLTK to assign polarity scores to sentence for conditional text generation?

Answer 1

To assign polarity scores to sentences using NLTK for conditional text generation, you can use the SentimentIntensityAnalyzer from the Vader module to compute sentiment scores for each sentence. Here is the code reference you can refer to:

In the above code, we are using the following key steps:

• SentimentIntensityAnalyzer: Computes polarity scores (compound, pos, neu, neg) for each sentence.
  • Compound: The overall sentiment score ranges from -1 (negative) to +1 (positive).
• Assign Scores: Pair each sentence with its compound score.
• Conditional Generation: Use score thresholds (e.g., > 0.5 for positive) to filter or conditionally select sentences for text generation.

The output of the above code would be:

Hence, by referring to the above, you can use NLTK to assign polarity scores to sentences for conditional text generation.