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Natural language processing (NLP) is a technology that is becoming increasingly important for the business community. Given a text input, NLP systems can break the document into sentences and individual words, identify parts of speech (verbs, nouns, adjectives, etc.), and recognize names of people, places, organizations, etc. NLP also parses sentences to depict the dependency relationships between words, and attempts to recognize coreferences so that pronouns in a document can be associated with names that occur earlier in the document. NLP applications include analysis of twitter feeds, customer reviews, blogs, news stories, or any other corpus of text that may be relevant to an organization. This ability to impose structure on unstructured data promises to be very helpful to industry.
About the Speaker
Mike Mitri, a CIS professor at JMU, has developed an application called Story Analyzer that uses an NLP engine to extract information from a textual narrative and identify the main actions of the story, the people or entities that perform these actions, the people or entities affected by these actions, and other contexts (places, times, etc.). Story Analyzer then displays the results in a dashboard that includes interactive word clouds, geographical map, timeline, and other visualizations. He will discuss the mechanics of NLP and demonstrate the dashboard. A fun time will be had by all.
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