Social Media Sentiment Analysis

This web-app focusses on analyzing sentiments and keyphrase extraction on twitter data from tweepy api and generating a report.

Overview

• deepmoji/ contains all the underlying code used to calculate sentiment.
• templates/ contains the front-end code used for report generation.
• model/ contains the pretrained model and vocabulary.
• index.py contains code to fire up the Flask server.

Installation

• Local Machine Installation

$ git clone https://github.com/theAayushbajaj/Social-Media-Sentiment-Analysis.git
$ cd Social-Media-Sentiment-Analysis/
$ pip install -r requirements.txt
$ python index.py

• Docker Run

$ sudo docker build -t socialsentiments:latest .
$ docker run --name socialsentiments -v "$(pwd)":/home -p5000:5000 socialsentiments:latest

• Pulling the image from DockerHub: https://hub.docker.com/repository/docker/theaayushbajaj/social-sentiments