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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.

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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 .

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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 .

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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.

Insights on Advanced Analytics & Enterprise Decisions

Let's talk

Organizations of all shapes and sizes are turning to robotic process automation, machine learning, and artificial intelligence for innovative business solutions thereby changing the ways how people work, shop, play, and live.

Are you looking to integrate these technologies into your business? 

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