2023 HPCC Systems Community Summit: Digital Human Readers Making History with NLP++ and HPCC Systems

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Digital Human Readers Making History with NLP++ and HPCC Systems - David de Hilster & Charvi Dave, LexisNexis Risk Solutions; Kruthika Pinnada, RV College of Engineering; Pedro Rodrigues, USP; Dheemonth Kodali, RV College of Engineering; Shyamaa Karthik, St Andrews School

From resume processing, to sentiment analysis, to digital dictionaries, NLP++ and HPCC Systems are making history. Searching for resumes is precarious when using simple keyword search and new work using NLP++ is making resume searching an exact science. Sentiment analysis till now has been done with statistical and keyword methods and have been too generic to used as real-world systems. Two sentiment analyzers break that mold, one involving soccer teams in Brazil, and the other cricket teams in India. NLP digital dictionaries have either been stuck in time for decades or are non-existent. Two Wiktionary projects use NLP++ to parse linguistic information from Wiktionary pages, processing hundreds of thousands and millions of pages using HPCC Systems, and creating dictionaries that can be used in future NLP systems. The result will be the most comprehensive English dictionary ever created for NLP and the first digital dictionary with linguistic information ever created for the Tamil language.

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