Natural Language Processing

Natural Language Processing

AASA offers natural language processing services using a combination of artificial intelligence and linguistics. Our team can help you to integrate NLP capabilities in your applications, bots, and IoT devices for a wide variety of industries to eliminate the complexity and process documents rapidly. By leveraging our NLP expertise, your enterprise can build a next-generation digital assistant that is contextually relevant, understands the language that people use to communicate, and make better decisions.

Through our AI-driven NLP services, we’ve made 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.

  • 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 Recognition
    • 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 models to compute extract relevant knowledge. 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.
  • Text Categorization and Document Similarity
    • Automated text categorization helps structure critical business data and segregate it for better search-ability 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.