Inicio Explorar Ayuda
Iniciar sesión
RONCC
/
Machine-Learning-Training
Seguir 1
Destacar 0
Fork 0
Archivos Incidencias 0 Pull Requests 0 Wiki
Rama: feature/conda_env
Ramas Etiquetas
Machine-Lear...
/
data
/
kaggle_data
/
features.txt

features.txt 2.7 KB
Permalink Histórico Raw

1234567891011121314151617181920212223242526272829303132333435363738394041424344 
  1. 'nb_words_title'  Number of words in the article's titles
    2. 

  2. 'nb_words_content'  Number of words in the article
    3. 

  3. 'pp_uniq_words'  Proportion of unique words in the article
    4. 

  4. 'pp_stop_words'  Proportion of stop words (i.e. words predefined to be too common to be of use for interpretation or queries, such as 'the', 'a', 'and', etc.)
    5. 

  5. 'pp_uniq_non-stop_words'  Proportion of non-stop words among unique words
    6. 

  6. 'nb_links'  Number of hyperlinks in the article
    7. 

  7. 'nb_outside_links'  Number of hyperlinks pointing to another website
    8. 

  8. 'nb_images'  Number of images in the article
    9. 

  9. 'nb_videos'  Number of videos in the article
    10. 

  10. 'ave_word_length'  Average word length
    11. 

  11. 'nb_keywords'  Number of keywords in the metadata
    12. 

  12. 'category'  Category of the article: 0-Lifestyle, 1-Entertainment, 2-Business, 3-Web, 4-Tech, 5-World
    13. 

  13. 'nb_mina_mink'  Minimum number of share counts among all articles with at least one keyword in common with the article
    14. 

  14. 'nb_mina_maxk'  Minimum number of maximum share counts per keyword
    15. 

  15. 'nb_mina_avek'  Minimum number of average share counts per keyword
    16. 

  16. 'nb_maxa_mink'  Maximum number of minimum share counts per keyword
    17. 

  17. 'nb_maxa_maxk'  Maximum number of share counts among all articles with at least one keyword in common with the article
    18. 

  18. 'nb_maxa_avek'  Maximum number of average share counts per keyword
    19. 

  19. 'nb_avea_mink'  Average number of minimum share counts per keyword
    20. 

  20. 'nb_avea_maxk'  Average number of maximum share counts per keyword
    21. 

  21. 'nb_avea_avek'  Average number of average share counts per keyword
    22. 

  22. 'nb_min_linked'  Minimum number of shares of articles from the same website linked within the article
    23. 

  23. 'nb_max_linked'  Maximum number of shares of articles from the same website linked within the article
    24. 

  24. 'nb_ave_linked'  Average number of shares of articles from the same website linked within the article
    25. 

  25. 'weekday'  Day of the week: 0-Monday, 1-Tuesday, 2-Wednesday, until 6-Sunday
    26. 

  26. 'dist_topic_0'  Distance to topic 0
    27. 

  27. 'dist_topic_1'  Distance to topic 1
    28. 

  28. 'dist_topic_2'  Distance to topic 2
    29. 

  29. 'dist_topic_3'  Distance to topic 3
    30. 

  30. 'dist_topic_4'  Distance to topic 4
    31. 

  31. 'subj'  Subjectivity
    32. 

  32. 'polar'  Sentiment polarity 
    33. 

  33. 'pp_pos_words'  Proportion of positive words in the article
    34. 

  34. 'pp_neg_words'  Proportion of negative words in the article
    35. 

  35. 'pp_pos_words_in_nonneutral'  Proportion of positive words among the non-neutral words of the article
    36. 

  36. 'ave_polar_pos'  Average sentiment polarity of the positive words
    37. 

  37. 'min_polar_pos'  Minimum sentiment polarity of the positive words
    38. 

  38. 'max_polar_pos'  Maximum sentiment polarity of the positive words
    39. 

  39. 'ave_polar_neg'  Average sentiment polarity of the negative words
    40. 

  40. 'min_polar_neg'  Mimimum sentiment polarity of the negative words
    41. 

  41. 'max_polar_neg'  Maximum sentiment polarity of the negative words
    42. 

  42. 'subj_title'  Subjectivity of the title
    43. 

  43. 'polar_title'  Polarity of the title
    44. 

  44.