When deep learning met code search
There have been multiple recent proposals on using deep neural networks for code search
using natural language. Common across these proposals is the idea of embedding code …
using natural language. Common across these proposals is the idea of embedding code …
Twitter sentiment analysis using hybrid cuckoo search method
Sentiment analysis is one of the prominent fields of data mining that deals with the
identification and analysis of sentimental contents generally available at social media …
identification and analysis of sentimental contents generally available at social media …
[图书][B] Modern information retrieval
R Baeza-Yates, B Ribeiro-Neto - 1999 - people.ischool.berkeley.edu
Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …
A comparison of classifiers and document representations for the routing problem
H Schütze, DA Hull, JO Pedersen - … of the 18th annual international ACM …, 1995 - dl.acm.org
In this paper, we compare learning techniques based on statistical classification to
traditional methods of relevance feedback for the document routing problem. We consider …
traditional methods of relevance feedback for the document routing problem. We consider …
System and method for querying multiple, distributed databases by selective sharing of local relative significance information for terms related to the query
G Spencer - US Patent 5,826,261, 1998 - Google Patents
[57] ABSTRACT A system, method, and various softWare products provide improved
information retrieval performance from multiple document databases by retrieving from the …
information retrieval performance from multiple document databases by retrieving from the …
Graph-based term weighting for information retrieval
A standard approach to Information Retrieval (IR) is to model text as a bag of words.
Alternatively, text can be modelled as a graph, whose vertices represent words, and whose …
Alternatively, text can be modelled as a graph, whose vertices represent words, and whose …
Machine learning for information retrieval: Neural networks, symbolic learning, and genetic algorithms
H Chen - Journal of the American society for Information …, 1995 - Wiley Online Library
Abstract Information retrieval using probabilistic techniques has attracted significant
attention on the part of researchers in information and computer science over the past few …
attention on the part of researchers in information and computer science over the past few …
[图书][B] A survey of information retrieval and filtering methods
C Faloutsos, DW Oard - 1995 - Citeseer
We survey the major techniques for information retrieval. In the rst part, we provide an
overview of the traditional ones (full text scanning, inversion, signature les and clustering). In …
overview of the traditional ones (full text scanning, inversion, signature les and clustering). In …
Improving text retrieval for the routing problem using latent semantic indexing
D Hull - SIGIR'94: Proceedings of the Seventeenth Annual …, 1994 - Springer
Abstract Latent Semantic Indexing (LSI) is a novel approach to information retrieval that
attempts to model the underlying structure of term associations by transforming the …
attempts to model the underlying structure of term associations by transforming the …
[PDF][PDF] Combining multiple evidence from different types of thesaurus for query expansion
R Mandala, T Tokunaga, H Tanaka - Proceedings of the 22nd annual …, 1999 - dl.acm.org
Automatic query expansion has been known to be the most important method in overcoming
the word mismatch problem in information retrieval. Thesauri have long been used by many …
the word mismatch problem in information retrieval. Thesauri have long been used by many …