stopwords
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
stopwords has 10 facts recorded in Dontopedia across 3 references, with 1 live disagreement.
Mostly:rdf:type(3), part of(1), module location(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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.
assignedByAssigned by(1)
- Stop Words Variable
ex:stop-words-variable
excludesExcludes(1)
- Filtered Tokens
ex:filtered-tokens
excludesTypeExcludes Type(1)
- Filtered Tokens
ex:filtered-tokens
importsImports(1)
- Nltk.corpus
ex:nltk.corpus
Other facts (9)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Corpus | [1] |
| Rdf:type | Corpus Resource | [2] |
| Rdf:type | Word Category | [3] |
| Part of | Nltk.corpus | [1] |
| Module Location | nltk.corpus | [2] |
| Is Imported From | nltk.corpus | [2] |
| Language | english | [2] |
| Inverse of | Nltk.corpus | [2] |
| Language Specific | English Language | [2] |
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.
References (3)
ctx:claims/beam/407031c6-8e67-411e-a5b3-fe9a2898c457- full textbeam-chunktext/plain1 KB
doc:beam/407031c6-8e67-411e-a5b3-fe9a2898c457Show excerpt
text_en = "Apple is looking at buying U.K. startup for $1 billion." text_es = "La empresa Apple comprara una startup britanica por mil millones de dolares." print(process_text(text_en)) print(process_text(text_es)) ``` ### 3. **…
ctx:claims/beam/9da27bd6-4d72-425e-a89c-dc2a4d657e13- full textbeam-chunktext/plain1 KB
doc:beam/9da27bd6-4d72-425e-a89c-dc2a4d657e13Show excerpt
NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for class…
ctx:claims/beam/45c60563-8279-420f-bfa8-33f0a2e6896e- full textbeam-chunktext/plain1 KB
doc:beam/45c60563-8279-420f-bfa8-33f0a2e6896eShow excerpt
2. **Tokenization**: The `doc` object contains the processed text, and you can extract tokens, filtered tokens (without stopwords), and lemmatized tokens. 3. **Performance Measurement**: The example measures the time taken to preprocess a l…
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.