/Twitter-Sentiment-Analysis

Classification of tweets based on sentiment. The project aims to use existing lexical resources as well as features that capture information about the informal and​ ​ creative​ ​ language​ ​ used​ ​ in​ ​ microblogging.

Primary LanguagePython

Deep-Sentiment-Analysis

Description

Sentiment analysis of twitter tweets using deep learning techniques

Environment

Python2, Linux system

Layout

  • code/ folder which contains all codes
    • config.py contains the config of all the parameters needed
    • generate<model>.py generate the required models
    • check<model>.py calculate metrics of the model
  • input/ which contains training and test data
  • models/ directory where the models are stored