| T = List(t) |
| Ct = List() |
| w = Set() |
| At = List(multimodal_terms) |
| csv = DataFrame() |
|
defclean(T):
|
|
foreach tTdo:
|
| t.remove_hyperlinks() |
| t.remove_punctuation() |
| Ct.append(t) |
| end for |
|
returnCt
|
|
defcategory_wise(Ct, w, At):
|
|
foreach tCtdo:
|
| w = Set(t.split()) |
|
ifwintersectionAt != NULLdo:
|
| csv.append(t) |
| end if |
| end for |
|
returncsv
|
|
defpos_tagging(csv):
|
|
foreach tcsvdo:
|
|
pos_tagged= List(pos_tag(t))
|
|
ifword_class == adjorword_class == adv
|
| pos_words.append(word) |
| end if |
| end for |
|
returnpos_words
|
|
deflexicon(pos_words):
|
|
forword in lexicon_wordsdo:
|
|
ifword intersection pos_words != 0
|
|
do:emotion_words.append(word)
|
| end if |
| end for |
|
returnemotion_words
|
|
defcount_frequency(emotion_words):
|
|
foreach emotion_wordstwdo:
|
| word_count += 1 |
| word_dict.add(emotion_word,word_count) |
| end for |
|
returnword_dict
|
|
defscoring_system(word_dict):
|
|
forrow in lexicon_words.itertuples():
|
|
ifkey,value in word_dict.items():
|
|
if(row.key ==1):
|
| value += 1 |
| end for |
| end for |
| end |
