161 research outputs found
Retrieval of bilingual Spanish-English information by means of a standard automatic translation system
This paper describes our participation in bilingual retrieval (queries in Spanish on documents in English), by means of an information retrieval system based on the vector model. The queries, formulated in Spanish, were translated into English by means of a commercial automatic translation system; the terms extracted from the resulting translations were filtered in order to get rid of empty words and then they were normalised by stemming. Results are poorer than those obtained through monolingual retrieval with the original queries in English slightly above 15%
Web Page Retrieval by Combining Evidence
The participation of the REINA Research Group in WebCLEF 2005 focused in the monolingual mixed task. Queries or topics are of two types: named and home pages. For both, we first perform a search by thematic contents; for the same query, we do a search in several elements of information from every page (title, some meta tags, anchor text) and then we combine the results. For queries about home pages, we try to detect using a method based in some keywords and their patterns of use. After, a re-rank of the results of the thematic contents retrieval is performed, based on Page-Rank and Centrality coeficients
Análisis cibermétrico y visual de Twitter
This paper try to solve the necessity of collect the profile, followers and followed of a Twitter user via API and develop a crawler application use the library Python-Twitter, with the aim of make an analysis and visualization of the Twitter users network
La cibermetría en la recuperación de información en el Web
The exponential growth of web and distributed data characteristics, high volatility, unstructured data, redundant and highly heterogeneous, have introduced new problems in information retrieval processes. Therefore it is necessary to open new avenue of research that allow us to obtain good levels of accuracy. The papers are based on exploiting the hypertext features of the site is reaching great fame. The cybermetrics is providing many options for working with links and is offering some interesting options at this time, and much of the techniques used in the same may be useful in the processes of information retrieval on the web
REINA at RepLab2013 Topic Detection Task: Community Detection
[EN]Social networks have become a large repository of comments which can extract multiple information. Twitter is one of the most widespread social networks and larger and is therefore an important source for detecting states of opinion, events and happenings before even the mainstream media. Topic detection is important to discover areas of interest that arise in the tweets. We have used classical systems for a similarity matrix and we have used community detection techniques. The results have been good and allows us to study new possibilities
Scientific culture: Public perception of Science and Technology in Spanish Wikipedia
The paper shows the relationship between Science and Technology Wikipedia articles (Spanish edition), using Social Network Analysis Techniques
Scientific culture: Public perception of Science and Technology in Spanish Wikipedia
[ES]La presentación recoge las relaciones existentes dentro de los artículos de ciencia y tecnología de la Wikipedia aplicando técnicas de Análisis de las redes sociales
Science and Technology in Social Networks: Twitter
Using the Internet as a primary source of scientific information search it is enhanced with the use of social networks. This requires a study and standardization of the content obtained in this way. Through the study of scientific information on twitter profiles could identify the main issues and quantity and quality of shared scientific information
Science and Technology in Social Networks: Twitter
[ES]El uso de Internet como fuente principal de búsqueda de información científica se ve reforzado con el uso de los redes sociales. Esta situación requiere un estudio y estandarización del contenido obtenido por esta vía. A través del estudio de los perfiles de twitter que difunden información científica se pueden identificar los temas principales y la cantidad y calidad de la información científica compartida
REINA at RepLab2013 Topic Detection Task: Community Detection
Social networks have become a large repository of comments which can extract multiple information. Twitter is one of the most widespread social networks and larger and is therefore an important source for detecting states of opinion, events and happenings before even the mainstream media. Topic detection is important to discover areas of interest that arise in the tweets. We have used classical systems for a similarity matrix and we have used community detection techniques. The results have been good and allows us to study new possibilities
- …