Sentiment analysis on streams of twitter data

Sentiment analysis on streams of twitter data

Sentiment Analysis on Twitter Data is a challenging problem due to the nature, diversity and volume of the data. In this work we implement a system on Apache Spark, an open-source framework for programming with Big Data. The sentiment analysis tool is based on Machine Learning methodologies and Natu...

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Bibliographic Details
Main Author: Μπαλτάς, Αλέξανδρος
Other Authors: Τσακαλίδης, Αθανάσιος
Format: Thesis
Language:English
Published: 2017
Subjects:
Sentiment analysis
Apache Spark
Big data
Machine learning
Supervised learning
Twitter
Ανάλυση συναισθήματος
Μηχανική μάθηση
Ταξινόμηση
Εποπτευόμενη μάθηση
005.7
Online Access:http://hdl.handle.net/10889/10365

Internet

http://hdl.handle.net/10889/10365

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