Table 5 Statistical features
Feature name | Description | Feature count |
|---|---|---|
TF-IGM | Statistical method to find how important a word is in a document influenced by the class label of a document. This method is used based on the research performance comparison between TF-IDF and TF-IGM in text classification [8] | 100 |
Sentiment analysis | The percentage of positive, negative, and neutral in the social media status. The researcher used polarity sentiment analysis approach [35] to extract the weight for positive, negative & neutral class | 3 |
NRC Lexicon Database | Contain 14000 set of words in English and the relation of each words with eight common emotions namely anger, fear, anticipation, trust, surprise, sadness, joy, and disgust. [15] | 8 |
Total statistical features | 111 | |