Detection of Topic Trend and Removal of Vulgar Words from User Data Streams

Abstract

Nowadays, social media is becoming very much popular. More than 170 million people are using it to being connected to the world. Trend detection is nothing but to summarize the event which the world is discussing about. This paper explains about the system of detecting current events from user stream. Here, implemented the hybrid algorithm which will extract the subset of current event. The system will tell us which or about whom the crowd is discussing. Natural language processing is used for preprocessing and filtering. And bisect K-means is used for clustering.
DOI: 10.17762/ijritcc2321-8169.150742