mamba-helisinki/sentiment_analysis

Sentiment Analysis

Table of contents

• Overview
• Python Library
• Setup

Overview

Sentiment Analysis – One of the most popular projects in the industry. Every customer facing industry (retail, telecom, finance, etc.) is interested in identifying their customers’ sentiment, whether they think positive or negative about them.

Python sentiment analysis is a methodology for analyzing a piece of text to discover the sentiment hidden within it. It accomplishes this by combining machine learning and natural language processing (NLP). Sentiment analysis allows you to examine the feelings expressed in a piece of text.

Python Library

Project is created with:

• Pandas
• Matplotlib.pyplot
• Tensorflow
• Keras

Setup

To run this project, install the following libraries in your IDE/Notebook:

$ pip install tensorflow

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