Enable users to process transcripts faster, more accurately and provide deeper insights for breaking the positioning clutter.
Extract the semantic of the sentences in documents and build a semantic vector space.
Enables semi-auto meta tagging feature to override the meta tags predicted by the AI trained model.
Visual depiction of the entire uploaded text data and support for checking the initial hypothesis.
Making interaction with data easier and support to extract analysis in wide range of formats like excel sheet, csv files etc.
Drilldown charts for aspect based sentiment analysis: A visual to show sentiments across different aspects with multiple drilldowns.
Word Cloud: A quick understanding of the uploaded documents context.
Topic Modelling to categorize responses with similar semantic.
Root-Cause analysis: A drill down visualization to determine the causality of a theme.
Advanced search filters for emotion, sentiments, opinion and topics.
A realtime Question answering feature to find out answers to your questions.