Название: Sentiment Analysis and Knowledge Discovery in Contemporary Business Автор: Dharmendra Singh Rajput, Ramjeevan Singh Thakur, S. Muzamil Basha
Издательство: IGI Global
ISBN: 1522549994
Год: 2019
Страниц: 356
Язык: английский
Формат: pdf (true)
Размер: 14.4 MB
In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. In this age, the advancements in the arena of Machine learning are huge. Machine Learning has become one emerging field of computer science. As a part of many different algorithms that can learn form and make decisions on data are developed. Different algorithm works well in different situation. There are different machine learning application have been developed such as algorithms to filter e-mails, fraud detection, voice recognition, and weather prediction etc. There are different types of machine learning algorithms present in computer science: Linear Regression, Linear Discriminant Analysis, Support Vector Machine, Naive Bayes classifier, Neural Networks, & Decision trees.
