TY - JOUR AU - Banerjee, Nilanjan AU - Chakraborty, Dipanjan AU - Joshi, Anupam AU - Mittal, Sumit AU - Rai, Angshu AU - Ravindran, Balaraman PY - 2021/08/03 Y2 - 2024/03/29 TI - Towards Analyzing Micro-Blogs for Detection and Classification of Real-Time Intentions JF - Proceedings of the International AAAI Conference on Web and Social Media JA - ICWSM VL - 6 IS - 1 SE - Poster Papers DO - 10.1609/icwsm.v6i1.14312 UR - https://ojs.aaai.org/index.php/ICWSM/article/view/14312 SP - 391-394 AB - <p> Micro-blog forums, such as Twitter, constitute a powerful medium today that people use to express their thoughts and intentions on a daily, and in many cases, hourly, basis. Extracting &lsquo;Real-Time Intention&rsquo; (RTI) of a user from such short text updates is a huge opportunity towards web personalization and social net- working around dynamic user context. In this paper, we explore the novel problem of detecting and classifying RTIs from micro-blogs. We find that employing a heuristic based ensemble approach on a reduced dimension of the feature space, based on a wide spectrum of linguistic and statistical features of RTI expressions, achieves significant improvement in detect- ing RTIs compared to word-level features used in many social media classification tasks today. Our solution approach takes into account various salient characteristics of micro-blogs towards such classification &ndash; high dimensionality, sparseness of data, limited context, grammatical in-correctness, etc. </p> ER -