Advanced Text Mining & Analytics Group

LinkedIn Group for Text Mining, Text Analytics, NLP (Natural Language Processing) Networking, Training, Tutorials. Tool Agnostic. Dedicated to helping everyone accomplish more with text analytics. Addressing the knowledge gap regarding text categorization, text clustering, concept/entity extraction, production of granular taxonomies, ontologies sentiment analysis, document summarization, and entity relation modeling Text analysis involves information retrieval, lexical analysis to study word frequency distributions, pattern recognition, tagging/annotation, information extraction, data mining techniques including link and association analysis, visualization, and predictive analytics. The overarching goal is, essentially, to turn text into data for analysis, via application of natural language processing (NLP) and analytical methods. It also invokes the field of is a field of natural language processing (NLP) computer science, artificial intelligence, and linguistics concerned with the interactions between computers and human (natural) languages.
Because we are tool agnostic we support, encourage the use of commercial and open source tools and the cross pollination and sharing of ideas and methodologies. Our bottom line is the focus on sound practices, replicabilitity, statistical/mathematical rigour, correctness in coding and documentation practices, and establishing industry standards.

If you don't have experience in Text Mining/Text Analytics, but have 1) statistical/applied mathematics background 2) understanding of computer logic/reasoning 3) understanding of hierarchies/taxonomies domains of language 4) access to either one or more commercial software package and/or open source joining this group may still be beneficial and trying the tutorials on the website.

Specialties : 

Status: 

Operating

Industries: 

Employee Count Range: 

2-10

Company type: 

Public Company

Founded year: 

2014

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