Research & code implementations for Boolean, Vector Space Model, and LSI search algorithms tailored to the Cranfield dataset
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Updated
Feb 8, 2024 - Jupyter Notebook
Research & code implementations for Boolean, Vector Space Model, and LSI search algorithms tailored to the Cranfield dataset
고려대학교 언어정보연구소 주최 전산언어학 겨울학교 딥러닝 수학의 실습
Ranking the input documents in a corpus based on the query from user by using Latent Semantic Indexing.
dd-ready fully packed FreeDOS disk image for crossfalshing SAS2008 like Dell H200 to HBA
SPL Traceability Experimental Suite written in Python
Implementations of differents methods to retrieve information on documents using nltk and numpy.(Word2vec,PageRank...)
A search engine for the speeches of the Greek Parliament from the years 1989 to 2020.
Big_Data_Analisis_Clustering_Tweets
AsRock J5040 NAS setup with 32Gb RAM and LSI RAID card support
Comparison of Topic Modeling Approaches on Complaints Related to the E-Commerce Industry
Web multimedia project on CTU in Prague 2021. Using matrix SVD decomposition create a model for finding similar articles in database. Process involves preprocessing with tokenization, stemmatization, indexing and similarity calculation using tf-idf index.
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