An Approach Towards Bilingual Sentiment Analysis

Authors

  • Farhin Falak   ECS Department, BSSITM, Lucknow, Uttar Parades, India

DOI:

https://doi.org/10.32628/IJSRSET196516

Keywords:

Bilingual Sentiment Analysis, polarity, Addressing Negation, POS, Subjectivity

Abstract

In the existing An Approach towards Bilingual Sentiment Analysis, Sentiment analysis is an emerging area of research. Over the past few decades increase in user generated content provides important aspect for researchers, companies and even government organization.

With the increase in online user generated content sentiment becomes a big challenge and brings promising opportunity in field of sentiment analysis.

User content varies tremendously since a user may.

  • Use single language
  • Use mixed language
  • May use mixed languages (Hindi + English)
  • May use abbreviations instead of full words

References

  1. Pew Research. “Statistical Portrait of Hispanics in the United States.” Internet: http://www.pewhispanic.org/2016/04/19/statistical-portrait-of-hispanics-in-the-united-states/, April 2016 February 2017].
  2. Chris Hutchins. “Companies Engaging Hispanics Win Big in the U.S. – and Beyond.”Internet: https://www.motionpoint.com/blog/companies-engaging-hispanics-win-big-in-the-u.s.-and-beyond/, May 2015February 2017].
  3. B. Pang and L. Lee. Opinion mining and sentiment analysis. Foundations and Trends in Information Retrieval, 2(1-2):1-135, 2008.
  4. Ameeta Asiaee T., Mariano Tepper, Arindam Banerjee, and Guillermo Sapiro. 2012. If you are happy and you know it... tweet. In Proceedings of the 21 st ACM International Conference on Information and Knowledge Management, CIKM ’12, pages 1602-1606, New York, NY, USA. ACM.
  5. Alec Go, Richa Bhayani, and Lei Huang. 2009. Twitter sentiment classification using distant supervision. CS224N Project Report, Stanford, pages 1-6.
  6. Brand Watch. “Understanding Sentiment Analysis.” Internet: https://www.brandwatch.com/2015/01/understanding-sentiment-analysis/, 2015 2017].
  7. Semantria LLC. Semantria Out-of-the-Box Reliability. (2015). https://semantria.com/case-studies
  8. Julian Brooke, Milan Tofiloski, and Maite Taboada. “Cross-Linguistic Sentiment Analysis: From English to Spanish.” Simon Fraser University.
  9. Oscar Araque, Ignacio Corcuera, Constantino Roman, Carlos Iglesias, and J. Fernando Sanchez-Rada. “Aspect based Sentiment Analysis of Spanish Tweets.” TASS 2015, September 2015, pp 29-34.
  10. Veronica Perez-Rosas, Carmen Banea, and Rada Mihalcea. “Learning Sentiment Lexicons in Spanish.” Internet: http://lit.eecs.umich.edu/~banea/publications/perez.lrec.2012.slides.pdf, 2012.
  11. Pew Research. “With fewer new arrivals, Census lowers Hispanic population projections.” Internet: http://www.pewresearch.org/fact-tank/2014/12/16/with-fewer- new-arrivals-census-lowers-hispanic-population-projections-2/, December 2014 February 2017].

International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-10-30

Issue

Volume 6, Issue 5, September-October-2019

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Farhin Falak "An Approach Towards Bilingual Sentiment Analysis" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 5, pp.120-124, September-October-2019. Available at doi : https://doi.org/10.32628/IJSRSET196516