Sentiment Analyzer (SA)

A flask (Python) Web Interface for sentiment analysis (NLP).

Key Features

There are two main features in SA.

Basic Analyzer

• Tokenise a text
• Remove stop words (English, German, Italian dictionaries)
• Pre-process text (remove punctuation, lower case)
• Extract top words

Sentiment Analysis

• Shows if the text content is positive, neutral, negative
• Score for each sentiment

Prerequisites

This app is built using Python 3.6.6

Clone This Project

To clone and run this application, you'll need Git.

# Clone this repository
$ git clone https://github.com/ravi3222/sentiment-analyzer007.git


# Open folder sentiment-analyzer007 and Install dependencies
$ pip install requirements.txt

Start Service

Now, to start the application, do the following:

python run.py

Server will start and you can connect by opening the web browser and connecting one of the URLs:

http://localhost:5000

http://localhost:5000/index

More Screenshots

Basic Analyzer

Sentiment analysis

Use Heroku app

The app can be tested on heroku sentianalyzer007.herokuapp.com.