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
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Compare Natural Language Processing (NLP) Software

    Results: 95

    Stanford.NLP.NET
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    Stanford Part-Of-Speech Tagger
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    Stanford Phrasal
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    Stanford SPIED
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    Stanford Tokenizer
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    Stanford TokensRegex
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    Stanford Word Segmenter
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    SUTime
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    Synthesys
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    textacy
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    TextAnalysis.jl
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    The Stanford Parser
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    Timbl
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    Torch
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    Tregex, Tsurgeon and Semgrex
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    Ucto
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    Voicebase
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