Dr. Jyoti Shetty is an Assistant Professor in the Computer Science and Engineering Department at the RV College of Engineering. In collaboration with students, she has executed several projects on HPCC Systems, including implementing a distributed DBSCAN, providing evaluation metrics for a clustering algorithm, and IoT plugin for HPCC Systems, an OpenCV […]
Nathalia Ribas is a Computer Engineering student at the Federal University of Santa Catarina (UFSC), Brazil and currently an employee at LexisNexis Risk Brazil. She was introduced to HPCC Systems in 2021 when she had the opportunity to study the HPCC platform in the cloud along with Elastic Stack for her […]
One of the more important projects we are currently working on is the creation of high school and college-level courses on NLP using NLP++. NLP courses at universities almost exclusively concentrate on statistical methods like Machine Learning, Neural Networks, and Large Language Models. NLP courses that do not use statistical […]
The medical text processing project is sponsored by LexisNexis Risk solutions HPCC systems in conjunction with Clemson University. This project is the master’s thesis for Clemson graduate student Ashton Williamson and involves using NLP++ to assign ICD codes to the Mimic Dataset. The project is mentored by Dr. Amy Apon […]
This project was an internship project by Kruthika Pinnada from RV College of Engineering who developed an analyzer capable of parsing the different sections of a resume, such as education, professional experience, and demographic, just like a human reader does. The parsed data supports the creation of a knowledge base […]
This project was from grant work provided by LexisNexis HPCC Systems to the University of Sao Paulo that produced by Pedro Lima Rodrigues under the guidance of Professor Renato de Oliveira Moraes and NLP++ co-author David de Hilster. This analyzer was specifically created to analyzer tweets about the Palmeiras Soccer […]
This was an internship project by Dheemonth Kolali in the summer of 2023 sponsored by HPCC Systems of LexisNexis Risk. The purpose of this NLP++ analyzer was to analyze tweets from cricket games to find out the sentiment out a cricket player or team. Project Description Cricket is a popular […]
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Human language and human culture have run hand-in-hand. Thinking about what it is to be human without language is impossible. From the first utterings of speech around 70,000 years ago, to computers taking dictation and translating speech today, language is fundamental to humanity’s growth as a species. One: Writing Systems […]
This paper compares the Stanford CoreNLP system to the NLP Development Environment that bundles NLP++ and VisualText. I also introduce the terms first- and second-generation NLP Systems. Introduction Information extraction from text has been a goal for computational linguists for several decades. In the early 1990s, DARPA sponsored a series […]
