Help the communities most affected by the California wildfires in only a few minutes. We'll donate $10 for every review you submit.

Best Natural Language Processing (NLP) Software

Natural language processing (NLP) allows applications to interact with human language using a deep learning algorithm. NLP algorithms input language and can give a variety of outputs based on the learned required task. These outputs can include automatic summarization, language translation, part-of-speech tagging, parsing or grammatical analysis, and sentiment analysis, among others. NLP algorithms can also provide voice recognition and natural language generation, which converts data into understandable human language. Some examples of NLP uses include chatbots, translation applications, and social media monitoring tools that scan Facebook and Twitter for mentions. Natural language processing algorithms are an example of a deep learning algorithim and may be a pre-built offering in anAI platform.

To qualify for inclusion in the Natural Language Processing category, a product must:

  • Provide a deep learning algorithm specifically for human language interaction
  • Connect with language data pools to learn a specific solution or function
  • Consume the language as an input and provide an outputted solution
G2 Crowd Grid® for Natural Language Processing (NLP)
Leaders
High Performers
Contenders
Niche
Momentum Leaders
Momentum Score
Market Presence
Satisfaction
Filters
Star Rating

Natural Language Processing (NLP) reviews by real, verified users. Find unbiased ratings on user satisfaction, features, and price based on the most reviews available anywhere.

Compare Natural Language Processing (NLP) Software
Results: 101
    G2 Crowd takes pride in showing unbiased ratings on user satisfaction. G2 Crowd does not allow for paid placement in any of our ratings.
    Sort By:

    Unbabel is a AI-powered human translations designed for the translation of dynamic content like emails, support tickets and knowledge centers.