Entity Extraction from Social Media using Machine Learning Approaches

ABSTRACT In this work, we describe an automatic entity extraction system for social media content in English as part of our participation in the shared task on Entity Extraction from Social Media Text in Indian Languages (ESM-IL) organized by Forum for Information Retrieval Evaluation (FIRE) in 2015. Our method uses simple features such as window of words, capitalization, dictionary word, part of speech tags, hashtag, etc. The performance of the system has been evaluated against the testset released in the FIRE 2015 shared task on ESM-IL. Experimental results show encouraging performance in terms of precision, recall and F-measure