A sentiment analysis of Hindi posts to rate a positive, negative or neutral magnitude of text
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cdacm-model
.gitignore
Group7.zip
HSWN.py
HSWN.txt
HSWN.txt~
LICENSE.txt
MF.py
README.md
README.md~
__init__.py
algo.py
cdacm-postagger.sh
hindi.xlsx
moduleeng.py
preprocess.py
stanford-postagger.jar
stopwords.txt
stopwords.txt~
tag-request.sh
tagger.py
translate
translate.py

README.md

HINDI SENTIMENT ANALYSIS

Analysis of hindi text for classification into positive, negative and neutral.

Usage: python algo.py filename.xlsx

Output would be in OUTPUT.txt in the format: sno,polarity

Polarity:

  • Positive : 1
  • Negative : -1
  • Neutral : 0

AUTHORS

  • Lohitaksh Parmar
  • Palash Bansal
  • Shivam Rustogi