Certainly, let's clarify what the "Sentiment Score" represents in the context of our analysis.
The sentiment score is a measure of the emotional tone behind a series of words, used to understand the attitudes, opinions, and emotions expressed within an online mention. It is calculated using natural language processing (NLP) techniques. In our analysis, we used the TextBlob library to calculate this score for each comment.
- A positive sentiment score (greater than 0) indicates that the comment is generally positive.
- A negative sentiment score (less than 0) indicates that the comment is generally negative.
- A neutral sentiment score (equal to 0) suggests that the comment is neutral, without any particular positive or negative tone.
The sentiment score ranges from -1 to 1, where -1 is extremely negative, 1 is extremely positive, and 0 is neutral. This score helps us to understand the overall sentiment of the comments in a quantitative manner.
Now that we've clarified the meaning of the sentiment score, would you like to explore any specific aspects of the sentiment analysis further, or is there anything else you'd like to know?