https://github.com/sazzadcsedu/SSentiA
Tip revision: 98b8ac88381afe604da98bd08b6446a6d1d37b32 authored by sazzadcsedu on 09 October 2021, 01:30:07 UTC
Update README.md
Update README.md
Tip revision: 98b8ac8
README.md
# SSentiA
Code for SSentiA and LRSentiA
This repository contains code for SSentiA and LRSentiA (We are still adding/cleaning up code).
LRSentiA is a lexicon-based classifier used for sentiment analyis. It is capable of classifying in both binary and ternary level.
LRSentiA utilizes Opinion Lexicon (Hu and Liu, KDD-2004). https://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html. We have included the lexicon in this repository.
The following libraries are required-
1. Scikit-learn https://scikit-learn.org/stable/ (For machine learning classifier)
2. Spacy https://spacy.io. (For parsingg and POS tag assignment for LRSentiA classifier)
3. Numpy
4. Panda
The steps are as follows-
1. Use LRSentiA (LRSentiA.py) to generate pseudo-label.
2. Use SSentiA (SSentiA.py) to train machine learning classifier utilizing the pseudo-label training data.
Please email me at ssazz001@odu.edu for any query.