Title :
Using Twitter for Tapping Public Minds, Predict Trends and Generate Value
Author :
Kadambari, Sanchita ; Jaswal, Kalpana ; Kumar, Praveen ; Rawat, Seema
Abstract :
As the data sets in the world are growing at an exploding rate, research and analysis to derive value from this data has gained ground. Social media is a prime contributor to this data most of which is unstructured. The growing popularity of multimedia and mobile devices has created an overgrowing interconnected network where people are communicating on-the-go, sharing opinions on public forums, blogs, social networking websites. In this context, Twitter has emerged as a major platform to share one´s ideas and opinions and millions of users are `tweeting´ every second to generate a continuous influx of real-time data. Organizations are tapping into this data to gauge the general opinion or sentiment among the people and methods & techniques are being proposed for sentiment analysis & opinion mining. This has emerged as an active area of research and has a wide range of applications in every field.
Keywords :
data mining; social networking (online); Twitter; opinion mining; public minds; sentiment analysis; social media; trend prediction; value generation; Blogs; Data mining; Real-time systems; Sentiment analysis; Twitter; Web 2.0; data analytics; opinion mining; sentiment analysis; social network analysis;
Conference_Titel :
Advanced Computing & Communication Technologies (ACCT), 2015 Fifth International Conference on
Conference_Location :
Haryana
Print_ISBN :
978-1-4799-8487-9
DOI :
10.1109/ACCT.2015.99