TextBlob
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-19.)
TextBlob is simple library for processing textual data.
35 facts·13 predicates·5 sources·4 in dispute
Mostly:supports task(8), rdf:type(6), provides(4)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (13)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
supportedBySupported by(3)
- Noun Phrase Extraction
ex:nounPhraseExtraction - Part of Speech Tagging
ex:partOfSpeechTagging - Translation
ex:translation
hasLibraryHas Library(2)
- Section 6
ex:section-6 - Sentiment Analysis
ex:sentiment-analysis
comparesEntityCompares Entity(1)
- Library Comparison
ex:library-comparison
consideredLessAdvancedConsidered Less Advanced(1)
- Pyspellchecker
ex:pyspellchecker
importsLibraryImports Library(1)
- Textblob Code
ex:textblob-code
includesIncludes(1)
- Popular Sentiment Analysis Libraries and Tools
ex:popular-sentiment-analysis-libraries-and-tools
mentionsMentions(1)
- Turn 10649
ex:turn-10649
recommendedRecommended(1)
- Assistant
ex:assistant
Other facts (31)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
31 facts
| Predicate | Value | Ref |
|---|---|---|
| Supports Task | Sentiment Analysis | [1] |
| Supports Task | Part of Speech Tagging | [2] |
| Supports Task | Noun Phrase Extraction | [2] |
| Supports Task | Translation | [2] |
| Supports Task | Text Processing | [2] |
| Supports Task | Sentiment Analysis | [4] |
| Supports Task | Language Detection | [4] |
| Supports Task | Word Cloud Generation | [4] |
| Rdf:type | Library | [1] |
| Rdf:type | Python Library | [2] |
| Rdf:type | Spelling Library | [3] |
| Rdf:type | Nlp Library | [4] |
| Rdf:type | Software Library | [5] |
| Rdf:type | Nlp Library | [4] |
| Provides | Consistent Api | [2] |
| Provides | Sentiment Analysis | [5] |
| Provides | Language Detection | [5] |
| Provides | Word Cloud Generation | [5] |
| Built on Top of | Nltk | [4] |
| Built on Top of | Pattern | [4] |
| Built on Top of | Nltk | [4] |
| Built on Top of | Pattern | [4] |
| Used for | Sentiment Analysis | [1] |
| Open Source | true | [1] |
| Description | simple library for processing textual data | [2] |
| Positioning | simple | [2] |
| Api Characteristic | consistency | [2] |
| Characteristic | More Sophisticated | [3] |
| Offers | Sophisticated Spell Checking | [3] |
| Provides Feature | Text Analysis Api | [4] |
| Programming Language | Python | [5] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
—
typebeam/ea3a17ba-b67f-4340-be36-7ad8b3ad3c6a
ex:Library
—
labelbeam/ea3a17ba-b67f-4340-be36-7ad8b3ad3c6a
TextBlob
—
usedForbeam/ea3a17ba-b67f-4340-be36-7ad8b3ad3c6a
ex:sentiment-analysis
—
supportsTaskbeam/ea3a17ba-b67f-4340-be36-7ad8b3ad3c6a
ex:sentiment-analysis
—
openSourcebeam/ea3a17ba-b67f-4340-be36-7ad8b3ad3c6a
true
—
typebeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
ex:PythonLibrary
—
labelbeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
TextBlob
—
descriptionbeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
simple library for processing textual data
—
providesbeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
ex:consistentAPI
—
supportsTaskbeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
ex:partOfSpeechTagging
—
supportsTaskbeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
ex:nounPhraseExtraction
—
supportsTaskbeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
ex:translation
—
positioningbeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
simple
—
supportsTaskbeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
ex:text-processing
—
apiCharacteristicbeam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7
consistency
—
typebeam/cd1202e2-8ff4-46e7-b33d-4ac9df22522f
ex:SpellingLibrary
—
characteristicbeam/cd1202e2-8ff4-46e7-b33d-4ac9df22522f
ex:more-sophisticated
—
offersbeam/cd1202e2-8ff4-46e7-b33d-4ac9df22522f
ex:sophisticated-spell-checking
—
typelme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:NlpLibrary
—
labellme/2a578673-5ce7-4f89-8d29-0595b9609db0
TextBlob
—
builtOnTopOflme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:nltk
—
builtOnTopOflme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:pattern
—
providesFeaturelme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:text-analysis-api
—
typelme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
ex:software-library
—
labellme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
TextBlob
—
programmingLanguagelme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
Python
—
provideslme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
ex:sentiment-analysis
—
provideslme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
ex:language-detection
—
provideslme/3af9fcfa-5a53-43df-8c88-4a4a281949f2
ex:word-cloud-generation
2023-05-21
typelme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:NLP-library
2023-05-21
builtOnTopOflme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:nltk
2023-05-21
builtOnTopOflme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:pattern
2023-05-21
supportsTasklme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:sentiment-analysis
2023-05-21
supportsTasklme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:language-detection
2023-05-21
supportsTasklme/2a578673-5ce7-4f89-8d29-0595b9609db0
ex:word-cloud-generation
References (5)
5 references
ctx:claims/beam/ea3a17ba-b67f-4340-be36-7ad8b3ad3c6a- full textbeam-chunktext/plain1 KB
doc:beam/ea3a17ba-b67f-4340-be36-7ad8b3ad3c6aShow excerpt
- **Word Tokenization**: Split the text into individual words or tokens. - **Sentence Tokenization**: Split the text into sentences. ### 3. **Named Entity Recognition (NER)** - **Entity Extraction**: Identify and extract named entities suc…
ctx:claims/beam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7- full textbeam-chunktext/plain1 KB
doc:beam/74e5bfe0-45dd-4f50-b4b9-a751cbd211e7Show excerpt
print("Lemmatized Tokens:", lemmatized_tokens) ``` ### 2. **spaCy** spaCy is an industrial-strength NLP library that provides pre-trained statistical models and word vectors. It is highly optimized for production use and offers fast perfor…
ctx:claims/beam/cd1202e2-8ff4-46e7-b33d-4ac9df22522f- full textbeam-chunktext/plain1 KB
doc:beam/cd1202e2-8ff4-46e7-b33d-4ac9df22522fShow excerpt
But I'm not sure if this is the best approach. Do you have any suggestions for how we could improve our spelling correction system? Maybe something that uses machine learning or natural language processing? ->-> 4,29 [Turn 10649] Assistant…
ctx:claims/lme/2a578673-5ce7-4f89-8d29-0595b9609db0- full textbeam-chunktext/plain22 KB
doc:beam/2a578673-5ce7-4f89-8d29-0595b9609db0Show excerpt
[Session date: 2023/05/21 (Sun) 15:59] User: I'm trying to work on a project that involves text analysis and sentiment analysis. Can you recommend some popular NLP libraries in Python that I can use for this project? By the way, I've been b…
ctx:claims/lme/3af9fcfa-5a53-43df-8c88-4a4a281949f2- full textbeam-chunktext/plain15 KB
doc:beam/3af9fcfa-5a53-43df-8c88-4a4a281949f2Show excerpt
[Session date: 2023/05/25 (Thu) 02:42] User: I'm looking for some guidance on natural language processing techniques for sentiment analysis. I've been interested in this area since my thesis, and I've been exploring different approaches. Ca…
See also
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