Fuzzy Keyword Detection in Customer Reviews
<p>This workflow demonstrates how to detect keywords in customer review texts using fuzzy string matching. A list of keywords is compared against input documents with the Levenshtein algorithm, allowing typo-tolerant detection based on a configurable maximum edit distance. The output table shows each text together with the matched keywords and similarity scores.</p>
Nodes
- Boolean Configuration4 ×
- CASE Switch Data (End)4 ×
- CASE Switch Data (Start)4 ×
- Table Creator3 ×
- Column Rename (Regex)2 ×
- Column Rename2 ×
- Double Configuration2 ×
- Integer Configuration2 ×
- Approximate String Matcher1 ×
- Bag Of Words Creator1 ×
- Breakpoint1 ×
- Case Converter1 ×
- Cell Replacer1 ×
- Column Filter1 ×
- Column Renamer1 ×
- Column Selection Configuration1 ×
- DF1 ×
- Frequency Filter1 ×
- Group Loop Start1 ×
- GroupBy1 ×
- Loop End1 ×
- Missing Value1 ×
- N Chars Filter1 ×
- Normalizer1 ×
- Punctuation Erasure1 ×
- Recursive Loop End (2 ports)1 ×
- Recursive Loop Start (2 ports)1 ×
- Reference Row Filter1 ×
- Row Splitter1 ×
- Snowball Stemmer1 ×
- Stop Word Filter1 ×
- Strings To Document1 ×
Table Row to Variable1 ×- Term To String1 ×
- Tika Language Detector1 ×
Extensions
Links
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