Natural language Processing

Have something to say? Software is listening to you. Through AI-driven NLP services, we’ve made revolutionary progress in interpreting human languages and behavior. From personalized search results to chatbots and virtual assistants, our Natural Language Processing solutions take communication beyond words. Services

Text Categorization

Automated text categorization helps structure critical business data and segregate it for better searchability and organization. By classifying text in this manner, automation allows you to minimize errors, scale real-time insights, save time, and extract the most value out of available information. Reduce inconsistencies and manage your documentation at a fraction of the cost!

Sentiment Analysis

As complex as human emotions and languages are, NLP based models can understand and infer the right context and undertone to gauge consumer needs. Sentiment Analysis is an opinion mining technique that can be proactively used to formulate business strategies, exceed customer expectations, generate leads, build marketing campaigns and open up new avenues for growth.

Entity Extraction

Organizations generate huge stacks of unstructured data that is information-rich, but largely ineffective. Entity recognition allows businesses to automate free-form text analysis and extract relevant content from multiple data sources. This aids the decision-making process, improves customer support, helps personalize search algorithms, and more in a fast, cost-efficient manner.

Intent Classification

By analyzing customer conversations, our team can train the model to compute sentence vectors and classify text input into various datasets. This automates the process of understanding sophisticated linguistic nuances as well as helps in identifying user intent, undertone and objectives. The result is truly conversational & competent chatbots, enhanced products and other human-machine interaction systems used for generating analytics, data processing or automating business processes.