A Inspection on Sentiment Research of Big Data: Techniques, Open Challenges
L.Sudha Rani1, S.Zahoor-Ul-Huq2, C.Shoba Bindu3
1L. Sudha Rani, Assistant Professor, Department of Computer Science Engineering, G Pulla Reddy Engineering College, Kurnool, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.
2Dr. S. Zahoor-Ul-Huq, Assistant Professor, Department of Computer Science Engineering, G Pulla Reddy Engineering College, Kurnool, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.
3Dr. C.Shoba Bindu, Assistant Professor, Department of Computer Science Engineering, G Pulla Reddy Engineering College, Kurnool, Jawaharlal Nehru Technological University, Anantapur, Andhra Pradesh, India.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 July 2019 | PP: 362-365 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F10730486S419/19©BEIESP | DOI: 10.35940/ijitee.F1073.0486S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: Big Data, Sentiment Analysis, Structured Data, Unstructured Data.
Scope of the Article: Computer Science and Its Applications