TextBlob
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Explore more → **TextBlob**
What is TextBlob?
TextBlob is a Python library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more. It is commonly used for tasks such as analyzing customer feedback, understanding social media sentiment, and building simple text-based applications.
What other technologies are related to TextBlob?
TextBlob Competitor Technologies
NLTK
NLTK is a comprehensive natural language toolkit with a wide array of functionalities. TextBlob provides a simplified interface to many NLTK features, making them competing libraries for some NLP tasks.
spaCy
spaCy is another NLP library that provides more advanced features and is designed for production use. It competes with TextBlob in terms of providing NLP capabilities, although spaCy focuses on efficiency and speed.
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TextBlob Complementary Technologies
Gensim
Gensim is a Python library for topic modeling, document indexing and similarity retrieval with large corpora. It can be used in conjunction with TextBlob for more advanced text analysis tasks.
BERT
BERT is a transformer-based model that can be used for various NLP tasks. TextBlob can be used in conjunction with BERT, for example, to process text before feeding it to a BERT model.
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Which job functions commonly mention TextBlob?
Data Scientist
55 Data Scientist jobs mention TextBlob
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jobs on Sumble
AI Engineer
13 AI Engineer jobs mention TextBlob
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jobs on Sumble
Machine Learning
15 Machine Learning jobs mention TextBlob
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jobs on Sumble
Research Assistant
3 Research Assistant jobs mention TextBlob
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jobs on Sumble
Data Engineer
5 Data Engineer jobs mention TextBlob
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jobs on Sumble
Which organizations are mentioning TextBlob?
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