Sentiment-Analysis

Sentiment Analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral.

Perform basic sentiment analysis Using Deep Learning

Overview

This is a Web-App made with Flask using Deep Learning and nltk to analyze the sentiment attached with text.

Getting Started

Dependencies

• Deep Leanring
• Numpy
• Pandas
• scikit learn
• Flask
• Html
• Css
• JavaScript
• Bootstrap

Prerequisites

To run locally, it is assumed that you have python installed on your system

Development Guide

• Create a virtual environment. virtualenv venv

  • Activate virtual environment via \venv\scripts\activate

• Install the requirements. pip install -r requirement.txt

• Get ready with all files like html css javascript

• Run the server. python manage.py runserver

Web-app

Web-app creted by using flask, Html, Css ,JavaScript, Bootstrap look like - Once you enter text in the given input box and hit predict button , It predict weather the given text is ham or spam.

• Input your text

Result

The output of this model is a flask web-app which predict the Sentiment.

Author

Vikram singh

• Twitter: https://twitter.com/vikramvinay1
• Linkdin: https://www.linkedin.com/in/vikram-singh-ai-venture/
• Facebook: https://www.facebook.com/AIVentureO/https://www.quora.com/profile/Vinay-Vikram-8
• Quora: https://www.quora.com/profile/Vinay-Vikram-8

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