Blog text analysis using topic modeling, named entity recognition and sentiment classifier combine

2013 ◽  
Author(s):  
Pranav Waila ◽  
V. K. Singh ◽  
M. K. Singh
Keyword(s):  
Text Analysis ◽  
Topic Modeling ◽  
Named Entity Recognition ◽  
Entity Recognition ◽  
Named Entity

scholarly journals MetaMap Lite: an evaluation of a new Java implementation of MetaMap

2017 ◽  
Vol 24 (4) ◽  
pp. 841-844 ◽  
Author(s):  
Dina Demner-Fushman ◽  
Willie J Rogers ◽  
Alan R Aronson
Keyword(s):  
Text Analysis ◽  
Text Processing ◽  
Named Entity Recognition ◽  
Biomedical Literature ◽  
Entity Recognition ◽  
Biomedical Text ◽  
Clinical Text ◽  
Unified Medical Language System ◽  
Named Entity ◽  
Medical Language

Abstract MetaMap is a widely used named entity recognition tool that identifies concepts from the Unified Medical Language System Metathesaurus in text. This study presents MetaMap Lite, an implementation of some of the basic MetaMap functions in Java. On several collections of biomedical literature and clinical text, MetaMap Lite demonstrated real-time speed and precision, recall, and F1 scores comparable to or exceeding those of MetaMap and other popular biomedical text processing tools, clinical Text Analysis and Knowledge Extraction System (cTAKES) and DNorm.

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