Preprocess Text
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Preprocess Text has 12 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Mostly:rdf:type(2), returns(2), performs(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (11)
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.
isPerformedByIs Performed by(4)
- Number Removal
ex:number-removal - Punctuation Removal
ex:punctuation-removal - Text Conversion
ex:text-conversion - Tokenization
ex:tokenization
appliesApplies(1)
- Query Construction
ex:query-construction
appliesFunctionApplies Function(1)
- Tokens Column Creation
ex:tokens-column-creation
containsFunctionContains Function(1)
- Code Snippet
ex:code-snippet
definesDefines(1)
- Text Preprocessing Section
ex:text-preprocessing-section
demonstratesDemonstrates(1)
- Example Usage
ex:example-usage
usedByUsed by(1)
- Regex Pattern
ex:regex-pattern
usesUses(1)
- Query Construction
ex:query-construction
Other facts (12)
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 | Function | [1] |
| Rdf:type | Function | [2] |
| Returns | Cleaned Text | [1] |
| Returns | Token List | [2] |
| Performs | Regex Cleaning | [1] |
| Performs | Lowercasing | [1] |
| Parameter | text | [1] |
| Uses | re.sub | [1] |
| Applies | regex-substitution | [1] |
| Transforms | text-to-lowercase | [1] |
| Has Parameter | Text | [2] |
| Uses Regex Pattern | Regex Alphanumeric Filter | [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 (2)
ctx:claims/beam/682fcc87-6770-4bd6-b81b-3048d4338e0ectx:claims/beam/46068d53-96d3-4709-a18e-0c4041019936- full textbeam-chunktext/plain1 KB
doc:beam/46068d53-96d3-4709-a18e-0c4041019936Show excerpt
### Step 2: Modify the Code to Use BM25 Here's an example of how you can integrate BM25 into your proof of concept: ```python import pandas as pd from sklearn.model_selection import train_test_split from sklearn.metrics import recall_scor…
See also
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