A Inspection on Sentiment Research of Big Data: Techniques, Open Challenges

Autor: Zahoor Dr., Shoba Bindu C
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Innovative Technology and Exploring Engineering. 8:362-365
ISSN: 2278-3075
DOI: 10.35940/ijitee.f1073.0486s419
Popis: Due to the invention of Web 2.0, the users have become more interest to share their content day by day. The emergence of various social networking sites has added to a greater extent to these activities. These provide a very good platform for the users to share the opinions of the persons across the globe. The opinions shared by the customers on the web can have the prevalent over the service industry. Many industries such as educational institutions, researchers, business organizations are concentrating opinion mining which is also called as sentiment analysis (SA) to retrieve the views and opinions posted by the public. This paper made a survey on Sentiment Analysis (SA) which aims to discusses technical aspects of SA (techniques, types) .This paper further highlights the main challenges faced by SA. These challenges present a lot of scope for research work in the future
Databáze: OpenAIRE