Chapter3
This directory contains 8 workflows.
01_POS_NE_Taggers
For the purposes of enrichment, this workflow applies a variety of tags to words in a Document. - Part-Of-Speech (POS) tags via the POS tagger node and the […]
02_Custom_Taggers
Here, the enrichment step consists of tagging words based on sentiment, i.e. positive or negative, according to a list of positive and negative words. The […]
03_Filter_Stemming_Lemmatization
Filtering. Here, all those terms that do not contain text content, such as stop words, numbers, punctuation marks, etc. are filtered from the documents. […]
04_BoW_and_Terms
After pre-processing and cleaning the text in the Documents, we can now create their bag of words. All nodes preceding the Bag of Words part have been […]
05_Sentence_Extraction
- Document Data Extractor node extracts information from a document object into data columns. - Meta Info Inserter node inserts (key, value) pairs as meta […]