Sentiment Analysis

Overview

Time: min

Objectives

What is Sentiment Analysis?

Quantifying users content, idea, belief, and opinion is known as sentiment analysis. User’s online post, blogs, tweets, feedback of product helps business people to the target audience and innovate in products and services. Sentiment analysis helps in understanding people in a better and more accurate way. It is not only limited to marketing, but it can also be utilized in politics, research, and security.

There are mainly two approaches for performing sentiment analysis.

Lexicon-based: count number of positive and negative words in given text and the larger count will be the sentiment of text.

Machine learning based approach: Develop a classification model, which is trained using the pre-labeled dataset of positive, negative, and neutral.

Key Points