genism
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What is genism?
Gensim is a Python library for topic modeling, document indexing, retrieval models and similarity analysis with large corpora. It is used to extract semantic topics from documents, build document indexes, and perform similarity queries. Commonly used for natural language processing tasks like text summarization, information retrieval, and topic detection.
What other technologies are related to genism?
genism Complementary Technologies
spaCy
spaCy is a library for advanced Natural Language Processing, often used with Genism for tasks like text preprocessing and feature extraction.
NLTK
NLTK is a natural language toolkit, which provides tools and datasets for various NLP tasks, and can be used in conjunction with Genism.
scikit-learn
Scikit-learn provides a wide range of machine learning algorithms, including some that can be used alongside Genism for tasks like classification or regression after topic modeling.
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Which job functions commonly mention genism?
Data Scientist
0.1% of all Data Scientist jobs mention genism
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jobs on Sumble
Research Scientist
12 Research Scientist jobs mention genism
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jobs on Sumble
Machine Learning
15 Machine Learning jobs mention genism
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jobs on Sumble
MLOps Engineer
1 MLOps Engineer jobs mention genism
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jobs on Sumble
AI Engineer
7 AI Engineer jobs mention genism
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jobs on Sumble
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