IEEE Style Citation: Aditya ,hare, Surabhi Thorat , Vikrant Shaga, “Role of Natural Language Processing in Social Media,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.12, pp.287-289, 2017.
MLA Style Citation: Aditya ,hare, Surabhi Thorat , Vikrant Shaga "Role of Natural Language Processing in Social Media." International Journal of Computer Sciences and Engineering 5.12 (2017): 287-289.
APA Style Citation: Aditya ,hare, Surabhi Thorat , Vikrant Shaga, (2017). Role of Natural Language Processing in Social Media. International Journal of Computer Sciences and Engineering, 5(12), 287-289.
BibTex Style Citation:
@article{Thorat_2017,
author = {Aditya ,hare, Surabhi Thorat , Vikrant Shaga},
title = {Role of Natural Language Processing in Social Media},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2017},
volume = {5},
Issue = {12},
month = {12},
year = {2017},
issn = {2347-2693},
pages = {287-289},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1617},
doi = {https://doi.org/10.26438/ijcse/v5i12.287289}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i12.287289}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1617
TI - Role of Natural Language Processing in Social Media
T2 - International Journal of Computer Sciences and Engineering
AU - Aditya ,hare, Surabhi Thorat , Vikrant Shaga
PY - 2017
DA - 2017/12/31
PB - IJCSE, Indore, INDIA
SP - 287-289
IS - 12
VL - 5
SN - 2347-2693
ER -
VIEWS
PDF
XML
658
421 downloads
309 downloads
Abstract
This paper highlight role of Natural Language Processing in social media sources like twitter, Facebook, LinkedIn etc. As now a day’s social media playing the vital role in terms of current trends social issues awareness etc. The major area where social media analysis requires is business analytics. As every business need the customer reviews and preferences for their business growth. This paper explains the major steps involved in social media mining.
Key-Words / Index Term
Natural Language Processing, Social media,text summarization, sentiment analysis, Named Entity Recognition, Part-Of-Speech,Tagging.
References
[1] https://www.tutorialspoint.com/artificial_intelligence/artificial_intelligence_natural_language_processing.htm
[2] Saranyamol C S, Sindhu L, “A Survey on Automatic Text Summarization”, International Journal of Computer Science and Information Technologies, 2014,Vol. 5 Issue 6.
[3] Rafael Ferreira et al.“Assessing Sentence Scoring Techniques for Extractive Text Summarization”, Elsevier Ltd., Expert Systems with Applications 40 (2013)5755-5764
[4] H. P. Luhn, "The automatic creation of literature abstracts”, IBM Journal of Research and Development, vol. 2, pp. 159-165, 1958.
[5] John Selvadurai “A Natural Language Processing based Web Mining System for Social Media Analysis”, International Journal of Scientific and Research Publications, Volume 3, Issue 1, January 2013 ISSN 2250-3153.
[6] The Stanford Natural Language Processing Group. (2012, Nov 15). Stanford Named Entity recognizer (NER) [Online].
[7] P. Radha and R.Divya,” Extracting Information from Social Network using NLP”, International Journal of Computational Intelligence Research ISSN 0973-1873 Volume 13, Number 4 (2017), pp. 621-630
[8] Surabhi Thorat,” Opinion Mining and Sentiment analysis- Its Tools and Challenges”, International Journal of IT, engineering and Applied Sciences Research (IJIEASR) ISSN: 2319-4413 Volume 3, No. 11, November 2014, pp. 12-15
VIEWS
PDF 
XML 
