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OpenNLP VS Apache OpenNLP

Compare OpenNLP VS Apache OpenNLP and see what are their differences

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OpenNLP logo OpenNLP

Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.

Apache OpenNLP logo Apache OpenNLP

Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text.
  • OpenNLP Landing page
    Landing page //
    2021-06-05
  • Apache OpenNLP Landing page
    Landing page //
    2019-11-03

OpenNLP features and specs

  • Open Source
    OpenNLP is an open-source project under the Apache License, which makes it free to use, modify, and distribute, fostering a collaborative and innovative environment.
  • Comprehensive NLP Tools
    It offers a wide range of natural language processing tools such as tokenization, sentence detection, part-of-speech tagging, named entity extraction, parsing, and more.
  • Java-based
    Being Java-based, OpenNLP integrates well with Java applications, providing a seamless option for Java developers to incorporate NLP capabilities into their projects.
  • Community Support
    As an Apache project, OpenNLP benefits from a robust community and contribution support, contributing to continuous improvement and updates.
  • Customizable
    OpenNLP allows users to train models on their own datasets, which provides flexibility to adapt to specific languages and domain-specific data.

Possible disadvantages of OpenNLP

  • Steep Learning Curve
    For beginners, getting started with OpenNLP can be challenging due to its dependency on understanding NLP concepts and Java programming.
  • Limited Language Support
    Compared to other advanced NLP libraries, OpenNLP has less extensive language support, which might be a limitation for non-English applications.
  • Performance Limitations
    While OpenNLP is suitable for many use cases, it may not perform as well as some newer or more specialized NLP tools for specific tasks.
  • Documentation Complexity
    Although comprehensive, the documentation can be complex and might require additional resources to fully understand all available features and configurations.
  • Java Dependency
    As it is Java-based, OpenNLP may not be the best choice for projects using other popular programming languages, without additional integration effort.

Apache OpenNLP features and specs

No features have been listed yet.

OpenNLP videos

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Wes Caldwell - 'Shrinking the Haystack' using Apache Solr and OpenNLP

Apache OpenNLP videos

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Category Popularity

0-100% (relative to OpenNLP and Apache OpenNLP)

OpenNLP

Apache OpenNLP

NLP And Text Analytics
63 63%
NLP And Text Analytics
37% 37
Spreadsheets
71 71%
Spreadsheets
29% 29
Natural Language Processing
65 65%
Natural Language Processing
35% 35
Data Analysis
50 50%
Data Analysis
50% 50

User comments

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Social recommendations and mentions

Based on our record, Apache OpenNLP seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

OpenNLP mentions (0)

We have not tracked any mentions of OpenNLP yet. Tracking of OpenNLP recommendations started around Jun 2021.

Apache OpenNLP mentions (3)

What are some alternatives?

When comparing OpenNLP and Apache OpenNLP, you can also consider the following products

Amazon Comprehend - Discover insights and relationships in text

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Google Cloud Natural Language API - Natural language API using Google machine learning

Rosette - Rosette text analytics is a robust toolkit for processing language, documents, and names.

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.

Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.

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