Map-Reduce Technique for sentiment analysis of twitter data - Softcover

Majgave, Amol; Desai, Pallavi

 
9786202564236: Map-Reduce Technique for sentiment analysis of twitter data
Softcover
ISBN 10: 6202564237 ISBN 13: 9786202564236
Verlag: LAP LAMBERT Academic Publishing, 2020

Inhaltsangabe

As per some current studies, public opinions expressed in social media may be connected with various social issues. To find out what actually can be discovered in social media data, we need data mining. But traditional data mining has many limitations as size of datasets. So, new data mining approaches that can handle massive amount of data have recently been referred to as big data algorithms. In this paper a new system is proposed that delivers large database of Social Networking Site (SNS) called ‘Twitter’. Processing the tweet involves extraction of metadata of tweet, geocoding the physical address in a tweet, analysing the sentiment of content in the tweet text and extracting the considerable and key phrases from a text. After all the Information Extracted and NER (Named Entity Recognition) text analysis from tweet, are stored into a MongoDB database, as it is more scalable and more flexible among others of NoSQL databases

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Über die Autorin bzw. den Autor

Mr.Amol B.Majgave working in CSE Department of DKTE'S Textile and Engineering Instutute IchlkaranjiMs.Pallavi R.Desai working in CSE Department of Dr.J.J.Magdum college of Engineering Jaysingpur

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2020
Sprache
Englisch
ISBN 10 
6202564237
ISBN 13 
9786202564236
Einband
Taschenbuch
Anzahl der Seiten
64
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
SIA OmniScriptum Publishing
customerservice@vdm-vsg.de

Brivibas gatve 197
Riga
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Lettland