NATURAL LANGUAGE PROCESSING (NLP) & TEXT ANALYTICS
We build text intelligence powered solutions that help businesses understand and answer what is being discussed, who being discussed, feelings expressed, and abstraction
Natural Language Processing (NLP) represents one of the key frontiers in human-to-computer interactions.
NLP enables computers to interpret human speech, uncover meaning from unstructured text, measure sentiments and learn to provide outputs in natural language as well. It also allows other language-related tasks to be scaled.
Our team has used NLP to extract sentiment information from customer feedback, build cognitive chat-bots with input and output functionality in natural language and process vast quantities of unstructured text like social media posts (Twitter, Facebook, Linkedin are prime examples of data sources), a collection of scientific papers, or restaurant reviews, or product documentations for classification and interpretation.
Our Services
Data Acquisition and Labeling
Data Acquisition and Labeling
We build data pipelines to ingest and label unstructured texts to build artificial intelligence models that solve your business problem.
We work with data provided by clients and/or use other data assets to develop models.
Model Development
Model Development
We build custom text analytics models that can be accessed via APIs or can deploy algorithms in client infrastructure as needed.
We provide continual maintenance and support to guarantee the performance .
e2e Software Solutions
e2e Software Solutions
We don't stop at building the custom model, we implement end to end software solution powered by the algorithm.
We provide continual maintenance and support for the model and solution as needed to guarantee the performance .
Few Key Use Cases for Text Analytics
Survey Insights
Find insights you weren’t looking for thanks to unsupervised AI, while create model based on your data without any dictionaries or ontologies.
Customer Service
Use NLU for analyze emails, chats, and social media interactions; orchestrate complaints management using intent analysis and generate alerts on key issues
Support Augmentation
Use NLU for automated routing of service tickets based on the intent. Also analyze support center data for insights about your clients/team.
Document Classification
Aggregate and monitor data on brand, customers, partners and competitors using document classification based on intent, and extraction of key entities from documents.
