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Minerva

Minerva Logo

Text
Analytics
Using OCR, Text Mining and NLP techniques, Minerva can extract information from any type of document, such as an invoice, a legal contract, a blog, a news article, an email, social media post or a chat.

Minerva analyses large amounts of unstructured data collected from several sources and with the help of machine learning algorithms Minerva finds relationships among key entities

Minerva classifies the data, automatically tag sections, perform a frequency analysis, understand the sentiments of an article or a comment and perform limitless text analytics on your data. Text mining helps to convert data into information, knowledge and Intelligence.

Business users can take advantage of ease of using application and generate quick sentimental analysis.

Success stories of Minerva

90%

Reduction in efforts required to capture direct parameters from contract documents

65%

Reduction in capture efforts for inferential parameters from paragraphs and tables

35%

Increase in customer satisfaction index due to accurate sentiment analysis

150K

Invoices processed with 97% accuracy in a quarter

Features of Minerva

Email Interpretation

Classifying emails into categories based on pre-determined rules

Document scanning and analysis

Scan legal documents for clause mapping and analysis

News article classification

Classifying news articles into different categories based on gradient boosting model

Sentiment analysis

Using NLP, determining the sentiment of the article as positive, negative or neutral

Invoice data extraction

Converting PDF/image files into text readable format using image matching and ML techniques

Invoice Data Capturing

Automatically extracting required information for invoices using pattern matching

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