The iSchool at Illinois: Diesner and Mishra publish paper on NER tool for social media research

The iSchool at Illinois: Diesner and Mishra publish paper on NER tool for social media research. “The identification of proper names of people, organizations, and locations from raw texts, referred to as Named Entity Recognition (NER), can be highly accurate when researchers use NER tools on a large collection of text with proper syntax. However, using existing NER tools for analyzing social media text can lead to poor identification of named entities. In particular, Twitter text frequently includes inconsistent capitalization, spelling errors, and shortened versions of words. TwitterNER, an open-source tool developed by doctoral student Shubhanshu Mishra, who is supervised by Assistant Professor Jana Diesner, can help researchers interested in performing NER on social media text.”