Fuzzy search with lexicon and word stems

March 08, 2025 • By KWD

Fuzzy search combines lexicon databases, word stemming algorithms, and tensor-based relationships to deliver intelligent search results that understand singular/plural forms and suggest alternatives for misspelled or unfound terms.

Key Takeaways

Porter stemming algorithm enables the search to recognize word variations and inflections in English language queries.
Fuzzy logic automatically understands singular and plural word differences without requiring exact keyword matches.
Suggestive keywords feature recommends alternative words when a search term isn't found in the lexicon.
Tensor algorithms process word relationships to improve relevance and accuracy of search results.
AI integration is planned to learn from user search history and boost scores for frequently accessed items.

Most of the world relies on search to validate the online existence of any entity. It makes it imperative for us to implement the search feature on our website.

The best products are those which provide a great experience. To do that a lot of automation is done while taking care of the user assumptions, regular patterns, and engaging cross-fields technologies.

We employed fuzzy logic with algorithms for word stemming, specifically the Porter stemming algorithm for English language with an ability to add additional inflection rules.

The search natively understands the difference between singular and plural words and can intelligently serve search content based on the inputted keywords.

The word relationships are also taken into consideration with Tensors working a simple algorithm to get this work done.

An interesting addition is the suggestive keywords which will throw in a choice if a keyword is not found in the dictionary or the lexicon and has a high resemblance factor towards another word.

Will be soon improving the search functionality with futher filters as we incorporate AI, which automatically learns from your previous searches and outputs a higher search score for more frequented items.

Signing off for today.

Frequently Asked Questions

Fuzzy search uses fuzzy logic combined with stemming algorithms and word relationship analysis to deliver intelligent search results that understand variations and similarities in keywords, even when exact matches aren't found.

The Porter stemming algorithm is a technique used to reduce English words to their root form, allowing the search to recognize different inflections of the same word like singular and plural variations.

When a user enters a word not found in the dictionary or lexicon, the system suggests similar words with a high resemblance factor, helping users find what they're looking for despite misspellings or typos.

Tensors work with a simple algorithm to process and understand word relationships, improving how the search engine determines relevance and delivers more accurate results based on semantic connections.

The search functionality will be enhanced with AI that learns from your previous searches and automatically assigns higher scores to frequently accessed items, making results more personalized over time.