Filters








10,621 Hits in 4.6 sec

Semantic Similarity Measurement Using Historical Google Search Patterns

Jorge Martinez
2017 Figshare  
To do this, we have designed and evaluated four algorithmic methods for measuring the semantic similarity between terms using their associated history search patterns.  ...  In this paper, we try to solve this problem by determining the semantic similarity for terms using the knowledge inherent in the search history logs from the Google search engine.  ...  This work has been funded by Spanish Ministry of Innovation and Science through: ICARIA: From Semantic Web to Systems Biology, Project Code: TIN2008-04844 and by the Regional Government of Andalucia through  ... 
doi:10.6084/m9.figshare.5624935.v1 fatcat:ppoout5cifefjgwfagvx53zhdm

Semantic Similarity Measurement Using Historical Google Search Patterns

Jorge Martinez Gil
2018 Figshare  
To do this, we have designed and evaluated four algorithmic methods for measuring the semantic similarity between terms using their associated history search patterns.  ...  In this paper, we try to solve this problem by determining the semantic similarity for terms using the knowledge inherent in the search history logs from the Google search engine.  ...  This work has been funded by Spanish Ministry of Innovation and Science through: ICARIA: From Semantic Web to Systems Biology, Project Code: TIN2008-04844 and by the Regional Government of Andalucia through  ... 
doi:10.6084/m9.figshare.6652373 fatcat:4khcgeildnhbxjnc4ehbzndlce

Semantic similarity measurement using historical google search patterns

Jorge Martinez-Gil, José F. Aldana-Montes
2013 Information Systems Frontiers  
To do that, we have designed and evaluated four algorithmic methods for measuring the semantic similarity between terms using their associated history search patterns.  ...  In this paper, we try to solve this problem by determining the semantic similarity for terms using the knowledge inherent in the search history logs from the Google search engine.  ...  This work has been funded by Spanish Ministry of Innovation and Science through: ICARIA: From Semantic Web to Systems Biology, Project Code: TIN2008-04844 and by the Regional Government of Andalucia through  ... 
doi:10.1007/s10796-012-9404-7 fatcat:2u7dizlgz5favmg3yx5upewkzu

Annotated Bibliography on Semantic Similarity

Jorge Martinez-Gil
2019 Figshare  
Annotated Bibliography on Semantic Similarity  ...  Semantic similarity measurement using historical google search patterns Computing the semantic similarity between terms (or short text expressions) that have the same meaning but which are not lexicographically  ...  To do this, we have designed and evaluated four algorithmic methods for measuring the semantic similarity between terms using their associated history search patterns.  ... 
doi:10.6084/m9.figshare.7546556.v1 fatcat:gogxvtbmlnexzbkrursj5abwbe

An Overview of Textual Semantic Similarity Measures Based on Web Intelligence

Jorge Martinez
2017 Figshare  
The problem is that traditional approaches to semantic similarity measurement are not suitable for all situations, for example, many of them often fail to deal with terms not covered by synonym dictionaries  ...  These techniques implement a variety of paradigms including the study of co-occurrence, text snippet comparison, frequent pattern finding, or search log analysis.  ...  designed by us which consists of using the historical search patterns from web search engines.  ... 
doi:10.6084/m9.figshare.5624875.v1 fatcat:cmz6qja4bffhpgsqr3rjkjpkxu

An Overview of Textual Semantic Similarity Measures Based on Web Intelligence

J. M. Gil
2018 Figshare  
The problem is that traditional approaches to semantic similarity measurement are not suitable for all situations, for example, many of them often fail to deal with terms not covered by synonym dictionaries  ...  These techniques implement a variety of paradigms including the study of co-occurrence, text snippet comparison, frequent pattern finding, or search log analysis.  ...  designed by us which consists of using the historical search patterns from web search engines.  ... 
doi:10.6084/m9.figshare.6541892.v1 fatcat:5i2anglbabesnkzrvmhq4ckl5e

An overview of textual semantic similarity measures based on web intelligence

Jorge Martinez-Gil
2012 Artificial Intelligence Review  
The problem is that traditional approaches to semantic similarity measurement are not suitable for all situations, for example, many of them often fail to deal with terms not covered by synonym dictionaries  ...  These techniques implement a variety of paradigms including the study of co-occurrence, text snippet comparison, frequent pattern finding, or search log analysis.  ...  designed by us which consists of using the historical search patterns from web search engines.  ... 
doi:10.1007/s10462-012-9349-8 fatcat:23rehdw7ijholnwjrsvtzitauy

CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures

Jorge Hagenberg
2018 Figshare  
Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea.  ...  There are a lot of semantic similarity measures for addressing this problem. However, the best results have been achieved when aggregating a number of simple similarity measures.  ...  ploiting historical search patterns on the Web [20] .  ... 
doi:10.6084/m9.figshare.7104965.v1 fatcat:zlesffarhbbr3bp3sr56visade

CoTO: A Novel Approach for Fuzzy Aggregation of Semantic Similarity Measures

Jorge Martinez
2017 Figshare  
Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea.  ...  There are a lot of semantic similarity measures for addressing this problem. However, the best results have been achieved when aggregating a number of simple similarity measures.  ...  ploiting historical search patterns on the Web [20] .  ... 
doi:10.6084/m9.figshare.5649370.v1 fatcat:4kvhxce6dbea5oxazvst5tkh4u

CoTO: A novel approach for fuzzy aggregation of semantic similarity measures

Jorge Martinez-Gil
2016 Cognitive Systems Research  
Semantic similarity measurement aims to determine the likeness between two text expressions that use different lexicographies for representing the same real object or idea.  ...  There are a lot of semantic similarity measures for addressing this problem. However, the best results have been achieved when aggregating a number of simple similarity measures.  ...  ploiting historical search patterns on the Web [20] .  ... 
doi:10.1016/j.cogsys.2016.01.001 fatcat:mpolylqdnvhillfxnzvcoxk3cy

A Web Search Personalization Based on Probability of Semantic Similarity between User Log and Query with Web Page

Y. Raju, Dr D. Suresh Babu, Dr K. Anuradha
2018 International Journal of Engineering & Technology  
In this paper, we propose a Web search Personalization based on a Probability of Semantic Similarity (WP-PSS) between user log and query with search result webpage.  ...  It performs a probability of semantic similarities computation between the user query and search result webpage snippet, and compute the frequency of link associated with the log data.  ...  Because of the ability to extract an effective representation of the necessary information using semantic similarity [11] , implicit semantic similarity learning has already been applied to many personalized  ... 
doi:10.14419/ijet.v7i4.24.21856 fatcat:v37ovz5lhre4fftftsdv4gk5fe

Computational approaches to lexical semantic change: Visualization systems and novel applications [chapter]

Adam Jatowt, Nina Tahmasebi, Lars Borin
2021 Zenodo  
analysis of lexical semantic change.  ...  In general, properly representing the meaning of terms used in the past should be important for a range of natural language processing, information retrieval and other tasks that operate on old texts.  ...  Pearson correlation, cosine similarity, and Jaccard similarity can be used as similarity measures of word representations from different time points.  ... 
doi:10.5281/zenodo.5040320 fatcat:knrbwnsd7ne7rihw72m4hkfcba

A brief history of risk

Ying Li, Thomas Hills, Ralph Hertwig
2020 Cognition  
Specifically, we tracked latent semantic patterns over a period of 150 years to address four questions: First, we examined how the frequency of the word risk has changed over historical time.  ...  Is risk more subject to semantic change? Finally, we decompose the construct of risk into the specific topics with which it has been associated and track those topics over historical time.  ...  In addition, we searched for the nearest semantic neighbors for risk in COHA in 1820 and 2000.  ... 
doi:10.1016/j.cognition.2020.104344 pmid:32526519 pmcid:PMC7278655 fatcat:3ro5wgrbv5f23jevr3b7fxqj2u

Analysis and Forecasting of Trending Topics in Online Media Streams [article]

Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel
2014 arXiv   pre-print
Our fully automated approach is based on a nearest neighbor forecasting technique exploiting our assumption that semantically similar topics exhibit similar behavior.  ...  To this end, we present the first comprehensive study across three major online and social media streams, Twitter, Google, and Wikipedia, covering thousands of trending topics during an observation period  ...  For a given trending topic we first discover semantically similar topics which we search for patterns of similar behavior which are then used to produce a forecast.  ... 
arXiv:1405.7452v2 fatcat:es52rjcvrjgplgxudfk5xskk4u

Analysis and forecasting of trending topics in online media streams

Tim Althoff, Damian Borth, Jörn Hees, Andreas Dengel
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
Our fully automated approach is based on a nearest neighbor forecasting technique exploiting our assumption that semantically similar topics exhibit similar behavior.  ...  To this end, we present the first comprehensive study across three major online and social media streams, Twitter, Google, and Wikipedia, covering thousands of trending topics during an observation period  ...  For a given trending topic we first discover semantically similar topics which we search for patterns of similar behavior which are then used to produce a forecast.  ... 
doi:10.1145/2502081.2502117 dblp:conf/mm/AlthoffBHD13 fatcat:vuv4xfne5ncdtl6v4rvwsusymq
« Previous Showing results 1 — 15 out of 10,621 results