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CoreNLP Alternatives
Similar projects and alternatives to CoreNLP
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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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.
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Deep Java Library (DJL)
An Engine-Agnostic Deep Learning Framework in Java
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DKPro Core
Collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
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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.
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Sonar
Write Clean Java Code. Always.. Sonar helps you commit clean code every time. With over 600 unique rules to find Java bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better CoreNLP alternative or higher similarity.
CoreNLP reviews and mentions
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.
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One does not simply "create a visualization" from unstructured data!
If your looking at spacy have a look at Apache OpenNLP and Core NLP.
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Has anyone here ever used the seaNMF model for short text topic modeling, and be willing to help me get started with it?
Tokenize with NLTK, SpaCy or CoreNLP
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How to use CoreNLP with a large corpus(14.7 GB)?
If you need further assistance, you will be better off making an issue on their github: https://github.com/stanfordnlp/CoreNLP
It should not take nearly that long. However, again I must recommend you take this conversation to github
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A comparison of libraries for named entity recognition
If you need NER, there’s no need to implement it yourself. There are several popular libraries that can do this for you nowadays. Five of these libraries, Stanford CoreNLP, NLTK, OpenNLP, SpaCy, and GATE, were already mentioned in the title.
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[D] Java vs Python for Machine learning
To give a contrasting perspective, I think the Java ecosystem is much better suited for many data science tasks, and has a growing and well-maintained set of libraries for general purpose machine learning. I won't list them all, but TF-Java, DJL et al. have implementations of many modern architectures and there are a number of excellent libraries (CoreNLP, Lucene et al.) for working with text.
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A note from our sponsor - InfluxDB
www.influxdata.com | 26 Sep 2023
Stats
Basic CoreNLP repo stats
11
9,166
8.5
8 days ago
stanfordnlp/CoreNLP is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.
The primary programming language of CoreNLP is Java.
Updating dependencies is time-consuming.
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