HPS: High precision stemmer
Tomáš Brychcín and Miloslav KonopíkInformation Processing & Management (2015)
Semantic Analysis | Language Modeling
HPS is a multilingual stemming tool based on unsupervised training from unlabeled corpora. HPS proved state-of-the-art performance on several tasks (e.g., Named Entity Recognition, Sentiment Analysis, Language Modeling, Information Retrieval) and in many languages. More technical details can be found in our paper (see [Brychcín and Konopík, 2015]) that has been accepted to the Information Processing and Management journal.
Please, cite our article if you use any of the available resources.
Our implementation of HPS is licenced under Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License