Sentimental Emotion Analysis using Python and Machine Learning

Mohit Chaudhari

Title:
Sentimental Emotion Analysis using Python and Machine Learning

Authors:
Mohit Chaudhari

Cite This Article :

Mohit Chaudhari "Sentimental Emotion Analysis using Python and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4, June 2021, pp.147-149, URL: https://www.ijtsrd.com/papers/ijtsrd41198.pdf

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Abstract :
Sentiment analysis is used in opinion mining. It helps businesses understand the customers’ reviews with a particular product by analyzing their emotional from the product reviews they post, the online recommendations they make, their survey responses and other forms of social media text. Businesses can get feedback on how happy or sad the customer is, and use this insight to gain a competitive edge. In this article, we explore how to conduct sentiment analysis on a piece of text using some machine learning techniques. Python happens to be one of the best programming language, when it comes to machine learning as it is easy to learn, is open source, and is effective in catering to machine learning requirements like processing big datasets and performing mathematical computations. Natural Language ToolKit (NLTK) is one of the popular packages in Python that can use for in sentiment analysis.

Keywords :
Python, Sql, Haddop, Database, Machine Learning, Natural Language

Publication Details:

Unique Identification Number : IJTSRD41198

Published In : Volume-5 | Issue-4, June 2021

Page Number(s) : 147-149

Publisher Name : IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470

Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

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