Big Data Processing in Sentiment and Opinion Mining for Detecting Student Depression in E-Learning Using Rich Facebook

Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Data Management
Format: PDF
The sentiment analysis holds the terms are sentiments (comments based on feeling) and opinion (comments based on thought or knowledge) to detect the depression only for student through the e-learning system. Here, introduce the Facebook application interface as a "Postbuk" for mining and authenticating the comments extraction from the Facebook user and server. The mining datasets are pre-processed by NLP and classified by using support vector machine classification. The Cassandra a big data's Hadoop framework is used for collects the large datasets from Facebook to e-learning system.

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