Advertisement
Published in:
2022 | OriginalPaper | Chapter
2. Product360: Sentiment and Emotion Detector
Authors : Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni
Published in: Natural Language Processing Projects
Publisher: Apress
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
Abstract
This chapter explores sentiment analysis and emotion detection along with text preprocessing and feature engineering methods. Also, we are exploring different machine learning techniques to train classifier models and evaluate using a confusion matrix. In the second half of the chapter, let’s pull real-time data from Twitter, and predict sentiment and emotions to generate insights. Also, we generate a script for automated reporting, which sends reports to a given set of e-mail addresses. This chapter gives you an overall picture of implementing an end-to-end pipeline that provides powerful insights about any product available on the market.