Natural Language Processing

We make use of advances in neural network techniques and automated recognition systems in our applications to truly make sense of natural language, written or spoken so that our clients can make powerful business decisions.

  • Sentiment Analysis

    From understanding trends for recruitment purposes for the U.S.A.F Thunderbirds to helping a client understand customer sentiments whose branches were spread across 100+ retail stores across the US east coast, we have been using sentiment analysis on social media data for a few years now and see tremendous value in this feature.

  • Domain Specific Dictionaries

    In an application, we needed to mine domain-specific data from news articles and other artifacts of the past ten years. To do so, we created a domain-specific dictionary and then trained our model on it.


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