VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
I want to add own words to vader_lexicon.txt but it is throwing an error
(word, measure) = line.strip().split('\t')[0:2] ValueError: not enough values to unpack (expected 2, got 1)
I modified the make_lex_dict method by adding the if statement as:
def make_lex_dict(self):lex_dict = {}for line in self.lexicon_full_filepath.split('\n'):if "," in line:(word, measure) = line.strip().split('\t')[0:2]lex_dict[word] = float(measure)
return lex_dict`
It resolved the error but the score is not deflected back on running the program and its giving the neutral score ,even after me assigning other values to the words
I want to add own words to vader_lexicon.txt but it is throwing an error
(word, measure) = line.strip().split('\t')[0:2] ValueError: not enough values to unpack (expected 2, got 1)I modified the
make_lex_dictmethod by adding the if statement as:def make_lex_dict(self):lex_dict = {}for line in self.lexicon_full_filepath.split('\n'):if "," in line:(word, measure) = line.strip().split('\t')[0:2]lex_dict[word] = float(measure)return lex_dict`It resolved the error but the score is not deflected back on running the program and its giving the neutral score ,even after me assigning other values to the words