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INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH
(International Peer Reviewed,Refereed, Indexed, Citation Open Access Journal)
ISSN: 2321-9939 | ESTD Year: 2013

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Paper Title
Twitter Airline sentiment Analysis
Authors
  Anurag Lahon

Abstract
Social Media is used by various companies to gather information from their customers. Customers share their opinion and feedback about the products and services. Social Media has become beneficial for companies where they analyse the feedbacks to improve their services and products. In this paper we will classify twitter data into feedbacks using machine learning and natural language processing (NLP) with the help of programming language Python. The tweets are categorized into neutral, positive, negative sentiments. We will use different machine learning algorithms.

Keywords- analytics,nlp
Publication Details
Unique Identification Number - IJEDR1903082
Page Number(s) - 488-491
Pubished in - Volume 7 | Issue 3 | August 2019
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Anurag Lahon,   "Twitter Airline sentiment Analysis", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 3, pp.488-491, August 2019, Available at :http://www.ijedr.org/papers/IJEDR1903082.pdf
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