Mallet VS CoreNLP

Compare Mallet vs CoreNLP and see what are their differences.

Mallet

MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text. (by mimno)

CoreNLP

CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc. (by stanfordnlp)
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Mallet CoreNLP
1 11
964 9,451
- 0.9%
3.7 9.1
about 1 month ago 10 days ago
Java Java
GNU General Public License v3.0 or later GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Mallet

Posts with mentions or reviews of Mallet. We have used some of these posts to build our list of alternatives and similar projects.
  • How to get the main topic of a Web article?
    1 project | /r/learnpython | 14 Feb 2021
    Nevertheless, you might take a look at the practice of "topic modeling" and get ready for a whole lot of abstruse statistics. One place to start might be Ted Underwoods Topic Modeling Made Just Simple Enough. If you just want to play with some pre-written software that does this kind of thing, you might want to look at MALLET.

CoreNLP

Posts with mentions or reviews of CoreNLP. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-11.

What are some alternatives?

When comparing Mallet and CoreNLP you can also consider the following projects:

Apache OpenNLP - Apache OpenNLP

CogCompNLP - CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

DKPro Core - Collection of software components for natural language processing (NLP) based on the Apache UIMA framework.

Deep Java Library (DJL) - An Engine-Agnostic Deep Learning Framework in Java

Apache Solr - Apache Lucene and Solr open-source search software

java - Java bindings for TensorFlow

SeaNMF - Short Text Topic Modeling

NLTK - NLTK Source