CoreNLP
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Explore more → **CoreNLP**
What is CoreNLP?
Stanford CoreNLP is a suite of natural language processing tools developed by Stanford University. It provides a set of human language technologies that can analyze text, identify parts of speech, named entities, parse trees, and perform sentiment analysis. It is commonly used in a wide range of applications such as information extraction, question answering, text summarization, and machine translation.
What other technologies are related to CoreNLP?
CoreNLP Competitor Technologies
OpenNLP
OpenNLP is another NLP toolkit providing similar functionalities like tokenization, parsing, and named entity recognition, thus competing with CoreNLP.
spaCy
spaCy is a popular NLP library that provides similar functionalities to CoreNLP, making it a direct competitor in the NLP space.
NLTK
NLTK is a widely used NLP library that offers functionalities for tasks such as tokenization, tagging, and parsing, making it a competitor to CoreNLP.
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CoreNLP Complementary Technologies
Gensim
Gensim is a Python library for topic modeling, document indexing and similarity retrieval which can complement CoreNLP's functionalities.
HuggingFace
Hugging Face's Transformers library provides pre-trained models and tools that can be integrated with CoreNLP for advanced NLP tasks.
BERT
BERT is a transformer-based model that can be used in conjunction with CoreNLP for various NLP tasks, enhancing its capabilities.
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Which job functions commonly mention CoreNLP?
Machine Learning
0.1% of all Machine Learning jobs mention CoreNLP
View 98
jobs on Sumble
Data Scientist
0.1% of all Data Scientist jobs mention CoreNLP
View 154
jobs on Sumble
AI Engineer
27 AI Engineer jobs mention CoreNLP
View 27
jobs on Sumble
Data, Analytics & Machine Learning
282 Data, Analytics & Machine Learning jobs mention CoreNLP
View 282
jobs on Sumble
Data Engineer
13 Data Engineer jobs mention CoreNLP
View 13
jobs on Sumble
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