A Comprehensive Review of Sentiment Analysis Software for Airline Reviews

A Comprehensive Review of Sentiment Analysis Software for Airline Reviews

Goutam Mahajan, Grashal Vishwa, Hemant Gehlod, Goshen Masih

Abstract
Sentiment analysis falls within the realm of Natural Language Processing, focusing on the examination of subjective viewpoints or emotions gathered from diverse sources regarding a specific topic. This field provides a collection of techniques for recognizing and extracting opinions, which can be leveraged to enhance business operations.

Introduction
Sentiment analysis involves the process of categorizing a block of text as positive, negative, or neutral. It entails context-based examination of language to gauge the social perception of a brand, assisting businesses in forecasting the market demand for their products. The ultimate objective of sentiment analysis is to distill people's opinions in a manner that facilitates business expansion. This analysis doesn't merely focus on polarity (positive, negative, or neutral) but also delves into emotional aspects (such as happiness, sadness, or anger).

The significance of sentiment analysis stems from the vast amount of unstructured data generated daily by humans, which can be challenging and time-consuming to interpret. This is where sentiment analysis shines, as it simplifies the task of unraveling unstructured data using automated techniques and algorithms.