Sentiment Analysis of Impact of Social Platforms on the Market Share of a Company
Neha Bharti1, Saravana Kumar K2 

1Neha Bharti, Department of Computer Science, Christ (Deemed to be University), Bengaluru, India.
2Saravana Kumar K, Department of Computer Science, Christ (Deemed to be University), Bengaluru, India.

Manuscript received on 07 March 2019 | Revised Manuscript received on 14 March 2019 | Manuscript published on 30 July 2019 | PP: 540-543 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1594078219/19©BEIESP | DOI: 10.35940/ijrte.B1594.078219
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (

Abstract: Sentimental analysis is also known as opinion mining or emotion AI. It refers to the use of natural language processing, text analysis, computational linguistics and biometrics to systematically identify, extract, and study affective states and subjective information. In this paper, Amazon reviews and blogs are analyzed to detect the sentiment using linguistic feature utility. Evaluation of the usefulness of existing lexical resources as well as capturing information about the informal and creative language used in online service platform is done. The goal of this research is to show the impact on the market-share of Vivo in comparison with that of Oppo and highlight the reason for the impact.
Index Terms: Sentiment Analysis, Natural Language Processing, Feature Extraction, Visualization

Scope of the Article: Social Sciences