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Project Information

Category: Agriculture and Fisheries
Subcategory: Agricultural Economic/Agri Business

Harnessing Sentiments towards Man-Made Disasters A Sentiment and Opinion Mining Analysis

Conducted by ESSU , Started on 2018 - Completed on 2018
Completed Published Total Page Views : 445 Total Likes : 111 Like

With the gargantuan amount of data being generated by various social media platforms, data scientists have come up with news ways to analyse and interpret data. These data are optimized by companies, institutions and establishments to create effective predictive models and analyse peoples’ opinion and sentiments on a particular topic. Sentiment Analysis is the use of Natural Language Processing (NLP), statistics, or machine learning methods to extract, identify or otherwise characterize the sentiment of a text unit sometimes referred to as opinion mining

Proponents
Neil Francis B. Casillano
Beneficiaries
ICT Industry
Fund Source
Institutional R&D Fund
No. of Patents
0
No. of Utility Models
0
How to Cite
sentiment analysis, data mining, man-made disasters, machine learning, twitter, profiling
Remarks

Agency Details

Eastern Samar State University
Barangay Maypangdan Borongan Eastern Samar, Borongan City, Eastern Samar
Phone: 09478644337
Email: [email protected]