Sentiment Analysis Using Python

By MANISH BASWAL

This is source code for sentiment Analysis on the stock market data using NLTK and Machine Learning in Python Language.

Introduction:

This is the source code for Sentiment Analysis on the stock market data.

This source code identifies the different terms related to the stock market and divides the sentiments as positive or negative.

This packet uses  Natural language toolkit for Natural Language Processing.

This packet uses word cloud for visualizing important terms regarding the stock market.

The Machine Learning algorithm used in this packet is Naive Bayes Classifier.

 

Technologies Used:

Python 

Machine Learning 

Natural Language Processing

 

Installation Guide:

Hardware Requirements:

Processor: Minimum 1 GHz; Recommended 2GHz or more.

Ethernet connection (LAN) OR a wireless adapter (Wi-Fi)

Hard Drive: Minimum 32 GB; Recommended 64 GB or more.

Memory (RAM): Minimum 1 GB; Recommended 4 GB or above.

 

Software Requirement:

Python 3

Jupyter Notebook

 

Libraries Requirements:

Pandas

Numpy 

Matplotlib

Seaborn

Word Cloud

NLTK

Sklearn