TagPrediction
This is a tag prediction software which implements multiple ML algorithms using Bag of Words and TF-IDF to train data. This Code is compatible with Python 2.7
#Prerequisites:
pip install sklearn pip install scipy pip install pandas pip install numpy pip install nltk pip install BeautifulSoup4 pip install python-matplotlib Got to your python prompt and run nltk.download()
Modify nltk’s tokenize file treebank.py to remove ‘#’ and add ‘=’ to the regex of delimiters. In line 60:
PUNCTUATION = [ (re.compile(r'([:,])([^\d])'), r' \1 \2'), (re.compile(r'([:,])$'), r' \1 '), (re.compile(r'...'), r' ... '), (re.compile(r'[;@=$%&]'), r' \g<0> '), (re.compile(r'([^\.])(.)([])}>"'])\s$'), r'\1 \2\3 '), (re.compile(r'[?!]'), r' \g<0> '),
(re.compile(r"([^'])' "), r"\1 ' "),
]
#Run run ./tagPrediction.sh