Parallelized Contextual Valance Shifter Algorithm for Sentiment Analysis on Big Data

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Big Data
Format: PDF
Popular and boundless use of World Wide Web (WWW) leads to generate a huge amount of unstructured data called, 'Big data'. Such data are rich in knowledge that plays a vital role in the process of decision-making. Knowledge can also be extracted in the form of sentiment polarity by the analytical process, sentiment analysis. Handling big data in the process of sentiment analysis demands big data technology like Hadoop framework: HDFS and MapReduce paradigm. The paper designs a framework that blends sentiment analysis process and Hadoop framework.

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