Analyzing Techniques for Tweet Stream Processing for Different Applications
Ashwini Gedekar1, Ashwini Zadgaonkar2
1Ashwini Gedekar, M.tech Scholar, Affiliated to Nagpur University, Ramdeobaba college of engineering & management, Nagpur, India.
2Ashwini Zadgaonkar, Assistant professor, Affiliated to Nagpur University, Ramdeobaba college of engineering & management, Nagpur, India.
Manuscript received on 08 June 2019 | Revised Manuscript received on 13 June 2019 | Manuscript Published on 08 July 2019 | PP: 240-246 | Volume-8 Issue-8S3 June 2019 | Retrieval Number: H10670688S319/19©BEIESP
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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: Twitter has become an invaluable source of information to analyze user behaviour in real time. Data knowledge from twitter has surpassed the knowledge given by facebook posts, as people use twitter majorly to spread important information about their life, their community or their profession. In this paper, we analyze various applications which use tweet based data mining in order to produce some informative results about the user’s personal behaviour. The applications mentioned in this text make use of certain techniques which range from sentiment analysis to critical event analysis in order to predict any outlier entries which might disrupt personal or public life in general. This paper can act as a stepping stone for early to moderate aged researchers by the introduction of different applications which are possible through tweet analysis. Some applications which are not yet developed are also mentioned in the paper, so that researchers can take advantage of our study and develop techniques on those applications based on data mining.
Keywords: Critical, Event, Knowledge, Mining, Sentiment ,Tweet
Scope of the Article: Computer Science and Its Applications