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