You might actually need the lemma of the word. Stemming and lemmatizing are very similar:
Stemming usually refers to a crude heuristic process that chops off the ends of words in the hope of achieving this goal correctly most of the time, and often includes the removal of derivational affixes.
Lemmatization usually refers to doing things properly with the use of a vocabulary and morphological analysis of words, normally aiming to remove inflectional endings only and to return the base or dictionary form of a word, which is known as the lemma .
Among the most commonly used NLP tools which also contain both stemming and lemmatizing are NLTK and CoreNLP.