CoreNLP VS NLTK

Compare CoreNLP vs NLTK and see what are their differences.

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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CoreNLP NLTK
11 64
9,530 13,152
0.7% 0.9%
9.2 7.9
12 days ago 18 days ago
Java Python
GNU General Public License v3.0 only Apache License 2.0
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.

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.

NLTK

Posts with mentions or reviews of NLTK. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-13.

What are some alternatives?

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

Apache OpenNLP - Apache OpenNLP

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

TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.

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.

bert - TensorFlow code and pre-trained models for BERT

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

Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

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

polyglot - Multilingual text (NLP) processing toolkit

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.

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

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