What is the difference between lemmatization vs stemming? Stemming is the process of producing morphological variants of a root base word Stemming programs are commonly referred to as stemming algorithms or stemmers Often when searching text for a certain keyword, it helps if the search returns variations of the word For instance, searching for “boat” might also return “boats” and
How do I do word Stemming or Lemmatization? - Stack Overflow Martin Porter wrote Snowball (a language for stemming algorithms) and rewrote the "English Stemmer" in Snowball There are is an English Stemmer for C and Java He explicitly states that the Porter Stemmer has been reimplemented only for historical reasons, so testing stemming correctness against the Porter Stemmer will get you results that you
nlp - How is stemming useful? - Stack Overflow In the context of machine learning based NLP, stemming makes your training data more dense It reduces the size of the dictionary (number of words used in the corpus) two or three-fold (of even more for languages with many flections like French, where a single stem can generate dozens of words in case of verbs for instance)
nlp - How to stem words in python list? - Stack Overflow I have python list like below documents = ["Human machine interface for lab abc computer applications", "A survey of user opinion of computer system response time", "The
What is the best stemming method in Python? - Stack Overflow I tried all the nltk methods for stemming but it gives me weird results with some words Examples It often cut end of words when it shouldn't do it : poodle => poodl article articl or doesn't stem
Can I perform stemming using regular expressions? Thank you for the answers so far I appreciate the complexity of stemming and the requirement of language knowledge However in my particular case the words are finite (films,lovely,glasses and glass) and so therefore I will only ever encounter these words and the suffixes in the expression above I don't have a particular application for this
What other alternative are there to stemming? - Stack Overflow The idea of stemming is to reduce different forms of the same word to a single "base" form That is not what you are asking for, so probably no existing stemmer is (at least not by purpose) fullfilling your needs So the obvious solution for your problem is: If you have your own custom rules, you have to implement them
Should I perform both lemmatization and stemming? [duplicate] I think stemming a lemmatized word is redundant if you get the same result than just stemming it (which is the result I expect) Nevertheless, the decision between stemmer and lemmatizer depends on your need My intuition said that steamming increses recall and lowers precision and the opposite for a lemmatization
Need a python module for stemming of text documents The PorterStemmer is the only stemming option implemented in gensim An a side note: I can imagine (without further references) that most text-mining-related modules have their own implementations for simple pre-processing procedures like Porter's stemming, white-space removal and stop-word removal