Stopword Removal
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Stopword Removal is filters tokens not in stopword list.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (5)
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.
containsContains(1)
- Code Sequence
ex:code sequence
demonstratesDemonstrates(1)
- Code Example
ex:code example
precedesPrecedes(1)
- Tokenization
ex:tokenization
Other facts (3)
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 | Nlp Process | [1] |
| Description | filters tokens not in stopword list | [1] |
| Precedes | Lemmatization | [1] |
Timeline
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References (1)
ctx:claims/beam/9bc3f21c-71a0-4b75-a96d-8c93f34ca13c- full textbeam-chunktext/plain1 KB
doc:beam/9bc3f21c-71a0-4b75-a96d-8c93f34ca13cShow excerpt
# Tokenization tokens = blob.words # Stopword Removal filtered_tokens = [word for word in tokens if word not in TextBlob(" ").words] # Lemmatization lemmatized_tokens = [word.lemmatize() for word in tokens] print("Tokens:", tokens) print…
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