To Gain Deeper Insights
From Text.
Combine the power of Machine Learning and NLP to extract entities, classify common topics, and understand customer sentiments from huge volumes of unstructured text.
Minerva is eClerx’s flagship text analytics service, that combines “Natural Language Processing” with “Machine Learning” to extract actionable insights from unstructured text data, enabling businesses to save time while reducing cost.
Minerva is a fast, scalable, and accurate text analytics solution that easily integrates with any business application. Minerva empowers businesses to perform various operations such as auto-classification of texts, detection of intent and sentiment from the readers, and extraction of essential information from the texts that do not follow a standard template.
For accommodating custom requirements, Minerva offers a team of experts who can assist in building an end-to-end text mining solution by curating data, assigning relevant labels to the data, and developing a robust and scalable text mining engine.
90% Reduction in efforts required to organize and manage content from unstructured texts.
80% Increase in recruiters’ productivity, saving a massive amount of time in resume screening.
Increase in NPS score, identifying the needs and frustration of customers from survey responses.
Reduction in invoice processing cycle time, enabling effective vendor relationship management.
Information Extraction
from unstructured text.
