Sentiment Analysis Demo

This sentiment analysis tool uses a lexicon-based approach:

• Lexicon-Based Scoring: Each word is matched against a sentiment dictionary with pre-assigned scores
• Word Scoring: Positive words contribute positive scores (0 to +1), negative words contribute negative scores (-1 to 0)
• Aggregate Score: The overall sentiment is calculated by averaging all word scores
• Normalization: The final score is normalized to range from -1 (very negative) to +1 (very positive)
• Text Processing: Text is tokenized, converted to lowercase, and stripped of punctuation for accurate matching

• Score Range: -1.00 to +1.00
• Very Positive: Score above +0.5
• Positive: Score between +0.1 and +0.5
• Neutral: Score between -0.1 and +0.1
• Negative: Score between -0.5 and -0.1
• Very Negative: Score below -0.5

• Does not understand context, sarcasm, or irony
• Treats negations simplistically (e.g., "not good" may not be properly handled)
• Limited to the words in the sentiment lexicon
• Does not consider sentence structure or grammar
• Best suited for straightforward sentiment expression