personalised terms derivative- semantic stemming
Post on 14-Feb-2017
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Personalized Terms DerivativeBeyond Stemming
Root
Word 1
Word 2
Word 3Root
Word 4
Word 5
What is PTD?
Semantic approach for Stemming
Capabilities to include Ontology and Semantic dictionary like wordnet
Extends the meaning of stemming to hypernym and user defined root word
Includes linguistic and morphological stemming provided by Porter-Stemmer and K-Stem
Algorithm Steps
Preprocessing Word Sense Disambiguation Sense Annotation Relationship K-Stem
Architecture Flow Diagram
Extract
Sentences
Lemmatized each word in the Sentences
Named Entity Extraction , Tokenization
Annotation
For Each Sentences
For Each Tokens
If Term = N-E
Word Sense Disambiguation for each
word in a sentence
Right sense of each word ,
POS Identification
TaggingIf
POS =
NN
For Each Tokens
YES
YES
NO
Find Hypernym/Root word
NO (Till all terms are processed once)
Knowledge Data Sources
Thesaurus
Dictionary,Ontology
Create Exclusion List
K-Stemmer
If Root word not found
Documents
Application Area
Search, Index Engine(Solr, ES)
Personalized Search(Dictionary)
WEB Search(Google)
Targeted Stemming
Text Summarization(Abstractive)
ComparisonWords Porter
StemmerPTD with Wordnet
PTD with Ontology
Source Link
oncology oncolog oncology medical specialty
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596793/mutation mutation organism genetic
variationhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596793/apoptosis apoptosi cell death cell
physiological processes
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596793/
biological biolog biological discipline https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596793/immune immun immune pathogeneses https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596793/cytarabine cytarabin cytarabine pyrimidine
nucleosideshttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3596793/metastasis metastasi pathological
processcancer progression
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2927383/
Demo
Demo : http://apis.tekstosesense.com Source Code : https://github.com/TekstoSense/word-root-finder Home : http://www.tekstosense.com Source Code Home :
https://github.com/TekstoSense/about-tekstosense
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