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CoreNLP Alternatives
Similar projects and alternatives to CoreNLP
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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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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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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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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 discussion
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 2025-04-08.
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Fine-tuning LLMs locally: A step-by-step guide
A suitable LLM library such as Hugging Face's Transformers or Stanford's CoreNLP
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How does "Reclaim.ai" use AI for smart rescheduling?
The Stanford CoreNLP Model
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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)?
It should not take nearly that long. However, again I must recommend you take this conversation to github
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What universities are hubs for reinforcement learning research?
Stanford has a great program and the Stanford NLP Group maintains CoreNLP which I have used before.
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POS-Tagger for declension of German words in Java?
So why not use the Stanford CoreNLP library?
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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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Making my own AI assistant
Check something like this out to start: https://stanfordnlp.github.io/CoreNLP/
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Good tutorials for PyTorch?
You don't actually even need to learn how to do deep learning if you're doing something fairly basic, which it sounds like you are. There are a lot of good tools you can use basically straight out of the box for something like this. Check out https://huggingface.co/course/chapter1, https://course.spacy.io/en/, https://guide.allennlp.org/ and https://www.nltk.org/book/. If java's more your thing, add https://stanfordnlp.github.io/CoreNLP/ to the list.
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A note from our sponsor - InfluxDB
www.influxdata.com | 16 May 2025
Stats
Basic CoreNLP repo stats
12
9,884
8.6
4 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.
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