Solutions that use techniques such as named entity recognition, part-of-speech tagging, or summarization to produce insights from unstructured textual documents.

Platforms that summarize conversations, audio, or video files including reactions into text formats.

Tools to identify and analyze the opinions or emotions expressed in survey responses or reviews to produce actionable insights.

Platforms that decipher search queries by analyzing structured and unstructured data based on user intent and behavior.

Solutions that enable real-time conversation through chatbots or automate ticket routing to relevant agents.

Tools that automatically translate text from one language to another.

Tools that detect plagiarism, punctuation errors, or style errors in text.

Using AI to mimic and understand human language

Natural Language Processing Tools

Overview

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  <p>
    Natural Language Processing (NLP) refers to the ability of computers to understand human language in spoken and written formats.
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    Earlier approaches to NLP were used mainly for machine translation applications and involved a rules-based approach that defined what words and phrases to look for in a text. Instead of hand-written rules, technologies such as AI and deep learning are approaching NLP by ingesting and analyzing large amounts of data and attempting to identify the user's intent to make accurate interpretations.
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  <p>
    AI-based NLP solutions today are being used to analyze and proofread documents, automatically transcribe audio and video content, understand sentiment from text, cognitively search data based on user intent, and engage in real-term conversations, especially in the area of customer service.
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  <p>
    *Note: Additional sections (such as market sizing, detailed overview, and incumbents) can be provided on request.
  </p>
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Natural Language Processing Tools

Natural Language Processing Tools

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