Research Article
Ensemble Machine Learning Model for Classification of Spam Product Reviews
Table 3
Ten best features chosen by Chi-square for Yelp Dataset.
| | S. no | Features | Description |
| | 1 | app_score | Application review scores | | 2 | rev_body_len | Reviews body length | | 3 | rev_pos_ascend | Reviews part of speech in ascending order | | 4 | rev_pos_descend | Reviews part of speech in descending order | | 5 | avg_cosine_similarity_text | Average cosine similarity for review text | | 6 | rev_rating | Reviews rating | | 7 | stdev_revApp_rating | Standard deviation of reviews application and review rating | | 8 | num_unique_words_text | Numbers of unique words in review text | | 9 | stdev_revrating_avgrevratingapp | Standard deviation for review rating and average review rating of mobile application | | 10 | brand_names_in_text | Brand names in reviews text |
|
|
