Collective intelligence & sentimental analysis of twitter data by using StandfordNLP libraries with software as a service (SaaS)
Hase Anand Kisan, Hase Anand Kisan, Aher Priyanka Suresh · 2016
Social Networking sites are the resources which contains huge data. For example, Twitter produces millions of bytes of the data. These data can be used for business or social purpose. Analyzing data from these social networking Web sites is one of the new buzzword for many business strategies. Election campaigns, World health issues, Technical concepts, inventions, Entertainment, Natural resources can be effectively handle by using sentimental analysis. Our proposed work evaluates sentimental analysis of Twitter data using StandfordNLP Libraries implemented in SaaS (cloud) which will handle all current affairs in the world. Cloud implementation will give process efficiency, result growth and improvement in time to market.