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LSTM Model for classifying tweets, we used tensorflow 1.0.1

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Sentiment-Classifiers

This repo contains twitter sentiment analysis classifier models that are mainly built using tensorflow and python, there are 3 structures(Models) here

  • LSTM Model with single class classification
  • LSTM Model with Multiple class classification
  • Mixed Model (LSTM + CNN) with Multi class classification

Getting Started

These instructions will get you a copy of the project up and run on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

you need to install

tensorflow 1.0.1
numpy 1.12 or least
matplotlib 2.0 or least
Jupyter notebook

or you can use anaconda for installing the required packages

Installing

it's pretty simple, you just need to run Jupyter notebook in the model directory by using your cmd or terminal

jupyter notebook

and it will open on your browser on your local host -and mostly- using port 8888, then you can open and run your mode

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LSTM Model for classifying tweets, we used tensorflow 1.0.1

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