English
What is Lemmatization feature?
Lemmatization is a process that groups together various forms of one word and assigns them the same meaning so they can be processed as a single item rather than different words. This process is defined by each word’s lemma, which is its dictionary form.
In terms of our Luigi’s Box feature, this process unifies all forms of specific product keywords. The customers will always get the same results for smartphone products regardless of whether their search keywords are smartphone, smartphone, phone, or any other related form of said product type.
Lemmatization also includes special character support, an important feature that transforms letters with special characters into a version without special characters to ensure correct search results. Product names in languages other than English might use special characters, which can lead to unpleasant consequences in searches.
By transliterating these characters, and transforming them into their base variant, you can be sure that no search results including these characters will be omitted, and your customers will always get the correct results.
How can you use the Lemmatization feature?
Lemmatization makes searching incredibly easy by acknowledging various forms of words. A customer searching for a “smart phone” instead of a “smartphone” might get easily frustrated when the search doesn’t turn up relevant product results. Thanks to the lemmatization and system analysis of the word or a word chain, the search will always produce results relevant to the word.
This feature is useful in several cases, as it prevents failed searches due to typos or when customers simply don’t know the correct spelling of certain products.
What are the benefits of Lemmatization?
- Prevents typos and mistakes
- Less time spent re-typing product names
- Increased chance of getting correct search results
- Improved chances of sale
Search Results
Search results are the pages, documents, or data sets returned in response to a user’s search query, helping them find relevant information.
Stemming
Stemming reduces words to their base form, broadening search results, improving recall, and ensuring better search relevance.
Machine Learning
Provide better product results, improve your sales and gathered data for analytics with the help of machine learning.
Morphologic Analysis
Morphological analysis studies the structure and formation of words, helping refine language processing for better search accuracy.
Linguistic Indexing
Linguistic indexing is a classification of sets of words into grammatical classes, such as nouns, adjectives, or verbs.
Language Detection
Language detection identifies the language used in a text to enable multilingual analysis and processing.
