SELCHI: Travel Profiling 
Advised by: Nisansa de Silva, Danaja Maldeniya
University of Moratuwa
In present days, with the evolution social media, people has become addicted to it social media. Due to that large amount textual information related to human activities are available in social network repositories. If these data can be used in a proper way, the outcome would be very powerful. In this project we are planning to use those data to structure and update travel domain data. The basic problems are to identify the trending places within time periods and trending geo locations. A system where it suggests users about trending travel locations according to their preferences within given time period would be the final outcome of this project.
When considering the research, we have two major research areas. Main research area is domain specific information extraction from social networks. Other area is data mining. Under domain specific information extraction from social networks, we are referring the area of Natural Language Processing. Under that we are focused on POS tagging, Sentimental Analysis and Pattern-based extraction.
Keywords: Natural Language Processing | Machine Learning / Deep Learning | Text Normalization | Social Media | Spell Checking | Spell Correction |