Tailor-made NLP Solutions for Your Organization
Spellcheck and Diacritics Reconstruction
As part of pre-processing, misspellings are fixed and Turkish texts written with ASCII-only characters are corrected.
The syntactic category of each word (adjective, noun, adverb, verb, conjunctive etc.) is determined and a corresponding tag is created during the POS tagging process.
As an information extraction process, named-entity recognition aims to detect and classify named entities (person names, locations, percentages, time expressions, organizations, monetary values, locations and so forth) in a text.
Our linguists annotate each word in a text regarding their context, semantic relations and features.
For the sentiment analysis process, sentiment orientation of the base forms in the data are identified as “very positive,” “positive,” “neutral,” “negative” and “very negative.”