International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 170 - Number 3 |
Year of Publication: 2017 |
Authors: D. P. Brandiwatta, A. H. L. D. C. Kaushalya, K. V. D. L. Sulochana, Nipunika Vithana |
10.5120/ijca2017914753 |
D. P. Brandiwatta, A. H. L. D. C. Kaushalya, K. V. D. L. Sulochana, Nipunika Vithana . Twitter Stream Data Mine System. International Journal of Computer Applications. 170, 3 ( Jul 2017), 34-36. DOI=10.5120/ijca2017914753
Twitter is a popular social network where users can share short SMS-like messages called tweets. Users share thoughts, links and pictures on twitter, journalists comment on live events, companies promote products and engage with customers. In this research paper introducing a system to users a simple way to look for the tweets and system will give a overall percentage weather post is a positive or negative or neutral . When user search the person who have twitter account, User can see the first 100 tweets and it'll give the percentage with positive, negative and neutral with the emojis. This project based on naive based theory.