Title: Domain identification for intention posts on online social media Authors: Luong, T.-L. Truong, Q.-T. Dang, H.-T. Phan, X.-H. Keywords: Domain classification;Intention mining;Social media text understanding;Text classification;User intent identification Issue Date: 2016 Publisher: Association for Computing Machinery Citation: Scopus Abstract: Today, more and more Internet users are willing to share their feeling, activities, and even their intention about what they plan to do on online social media. We can easily see posts like "I plan to buy an apartment this year", or "We are looking for a tour for 3 people to Nha Trang" on online forums or social networks. Recognizing those user intents on online social media is really useful for targeted advertising. However fully understanding user intents is a complicated and challenging process which includes three major stages: user intent filtering, intent domain identification, and intent parsi