208,499 Hits in 3.2 sec

Text Analysis Using Different Graph-Based Representations

Esteban Castillo Juarez, Ofelia Cervantes Villagómez, Darnes Vilariño Ayala
2018 Journal of Computacion y Sistemas  
This paper presents an overview of different graph-based representations proposed to solve text classification tasks.  ...  For each text classification task the type of graph created as well as the benefits of using it are presented and discussed.  ...  Graph Representation Relevance Different graph-based representations have been proposed to deal with text classification tasks (see Section 3).  ... 
doi:10.13053/cys-21-4-2551 fatcat:oheaazjd4fabdayuehpfvpg65e

Graph based Representation and Analysis of Text Document: A Survey of Techniques

S. S.Sonawane, P. A. Kulkarni
2014 International Journal of Computer Applications  
In this process taxonomy of Graph based representation and analysis of text document is derived and result of different methods of Graph based text representation and analysis are discussed.  ...  This paper presents a systematic survey of existing work on Graph based representation of text and also focused on Graph based analysis of text document for different operations in information retrieval  ...  In this paper various methods on modeling of text document using Graph are presented. This paper also surveys different Graph based analysis methods of text document.  ... 
doi:10.5120/16899-6972 fatcat:agyhbpryanftxjzx2n42ftmatu

Graph-based Representation for Sentence Similarity Measure : A Comparative Analysis

Siti Sakira Kamaruddin, Yuhanis Yusof, Nur Azzah Abu Bakar, Mohamed Ahmed Tayie, Ghaith Abdulsattar A.Jabbar Alkubaisi
2018 International Journal of Engineering & Technology  
This paper presents the results of a comparative analysis on three representation schemes i.e. term frequency inverse document frequency, Latent Semantic Analysis and Graph based representation using three  ...  Results reveal that the graph based representation and the Jaccard similarity measure outperforms the others in terms of precision, recall and F-measures.  ...  This concludes that the graph based representation performs better for sentence level text comparison using all similarity measures.  ... 
doi:10.14419/ijet.v7i2.14.11149 fatcat:qwwyn5ag75dbbpv6sux4ge2eli

Mining Conceptual Relations from Textual Web Content Using Leximancer

Ms.C Thavamani, Dr.A Rengarajan
2014 IOSR Journal of Computer Engineering  
In this paper, we propose concept-based text representation, with an accent on using the proposed representation in different applications such as information retrieval, text summarization, and question  ...  At the text representation level, we introduce a sentence based conceptual ontological representation that builds concept-based representations for the whole document.  ...  Most of the data representation techniques are based on word and/or phrase analysis of the text.  ... 
doi:10.9790/0661-16552427 fatcat:aqor36zu3bdavhv3emgvr232qi

Leveraging Deep Graph-Based Text Representation for Sentiment Polarity Applications [article]

Kayvan Bijari, Hadi Zare, Emad Kebriaei, Hadi Veisi
2019 arXiv   pre-print
In this paper, we propose a sentence-level graph-based text representation which includes stop words to consider semantic and term relations.  ...  The experimental results demonstrate that the proposed method substantially outperforms the related sentiment analysis approaches based on several benchmark datasets.  ...  Graph-based representation techniques for sentiment analysis have been used in a variety of research works.  ... 
arXiv:1902.10247v2 fatcat:qhosgx7bbracnjgvw55gxy76ee

The Effects of Multi-Modal Representations Used within the Context of Process-Based Instruction on Problem Solving, Academic Achievement, and Retention

Bilal Duman, Ali Yakar
2019 International Journal of Contemporary Educational Research  
The purpose of the present study is to determine the effects of two multi-modal representations, the use of text and graph for learning, on problem solving, academic achievement and retention when used  ...  For the data analysis, independent-sample t-test, Kruskal Wallis H-Test and descriptive analysis techniques were used.  ...  Teaching of the topic "Visual Design Elements" based on process-based instruction, iii. Getting students to prepare texts and graphs by using multi-modal representations, iv.  ... 
doi:10.33200/ijcer.566067 fatcat:speprccnbrbcpa7rs5y3rjshvm

Graph-based Text Representation and Matching: A Review of the State of the Art and Future Challenges

Ahmed Hamza Osman, Omar Mohammed Barukub
2020 IEEE Access  
Currently, several techniques are commonly used in graph-based text representation.  ...  We provide a formal description of the problem of graph-based text representation and introduce some basic concepts.  ...  In this research, different methods are discussed for modelling text documents using a graph. This study also discusses various methods of text document analysis based on graphs.  ... 
doi:10.1109/access.2020.2993191 fatcat:wkss6xzzcneujfe6ynnmbydhsa

UDLAP: Sentiment Analysis Using a Graph-Based Representation

Esteban Castillo, Ofelia Cervantes, Darnes Vilariño, David Báez, Alfredo Sánchez
2015 Proceedings of the 9th International Workshop on Semantic Evaluation (SemEval 2015)  
The best results obtained for the different datasets are: 77.76% for positive, 100% for negative and 68.04% for neutral, showing that the proposed graph-based representation could be a way of extracting  ...  The approach is based on the use of a cooccurrence graph to represent existing relationships among terms in a document with the aim of using centrality measures to extract the most representative words  ...  Graph-Based Representation Among different proposals for mapping texts to graphs, the co-occurrence of words (Sonawane, 2014) has become a simple but effective way to represent the relationship of one  ... 
doi:10.18653/v1/s15-2093 dblp:conf/semeval/CastilloCVBS15 fatcat:u4ifmx2j3zaa5c5lrtvjaq63i4

TM-SGTD: Text Mining Based Semantic Graph for Text Document Approach for Text Representation

Ashish Pacharne, Pramod S Nair, Srinivasa Rao D
2017 International Journal of Engineering and Technology  
Text representation is the essential step for the tasks of text mining.  ...  To represent the textual information more expressively, a kind of Text Mining based Semantic Graph approach is proposed, in which more semantic and ordering information among terms as well as the structural  ...  In popular and classical text representation models of text analysis and visualization the graphs are developed using domains such as single words or phrases, additionally that is assumed that all terms  ... 
doi:10.21817/ijet/2017/v9i4/170904007 fatcat:juouxrwklbaqxdiaz4s2r5oob4

JU-Evora: A Graph Based Cross-Level Semantic Similarity Analysis using Discourse Information

Swarnendu Ghosh, Nibaran Das, Teresa Gonçalves, Paulo Quaresma
2014 Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)  
Therefore, error tolerant graph matching techniques can be used for text comparison.  ...  On the contrary, representation of semantics through graphs has several advantages over the traditional representation of feature vector.  ...  In the linguistic analysis, discourse representation structures (DRS) are used to represent text semantic content and, afterwards, these structures are transformed into graphs.  ... 
doi:10.3115/v1/s14-2064 dblp:conf/semeval/GhoshDGQ14 fatcat:fp5peergura7bcpm6lqjx7pduu

Using Text Analysis to Understand the Structure and Dynamics of the World Wide Web as a Multi-Relational Graph

Harish Sethu, Alexander Yates
2010 2010 IEEE Second International Conference on Social Computing  
A representation of the World Wide Web as a directed graph, with vertices representing web pages and edges representing hypertext links, underpins the algorithms used by web search engines today.  ...  In this work-in-progress paper, we describe an ongoing collaborative project between two teams, one specializing in network science and analysis and the other specializing in text analysis and machine  ...  Using novel distributional representations, and especially representations based on latent variable language models, our tools generalize their classification techniques so that the classifier's predictions  ... 
doi:10.1109/socialcom.2010.105 dblp:conf/socialcom/SethuY10 fatcat:fc7jsykdgfdctmxco6ze6vsqji

Isomer: Transfer enhanced Dual-Channel Heterogeneous Dependency Attention Network for Aspect-based Sentiment Classification [article]

Yukun Cao and Yijia Tang and Ziyue Wei and ChengKun Jin and Zeyu Miao and Yixin Fang and Haizhou Du and Feifei Xu
2021 arXiv   pre-print
Specifically, a transfer-enhanced dual-channel heterogeneous dependency attention network is devised in Isomer to model short texts using heterogeneous dependency graphs.  ...  These heterogeneous dependency graphs not only consider different types of information but also incorporate external knowledge.  ...  to consider the difference representations of input text.  ... 
arXiv:2112.03011v1 fatcat:2ce7jo5rcnc5fksv2nw3mpetgq

Graph-Based Siamese Network for Authorship Verification

Daniel Embarcadero-Ruiz, Helena Gómez-Adorno, Alberto Embarcadero-Ruiz, Gerardo Sierra
2022 Mathematics  
We present three strategies to represent the texts as graphs based on the co-occurrence of the POS labels of words.  ...  We model the documents in a graph representation and then a graph neural network extracts relevant features from these graph representations.  ...  [21] present an overview of different graph-based representations proposed to solve authorship analysis tasks.  ... 
doi:10.3390/math10020277 fatcat:b45k7hhb6fgjpioku74d6tnrai

Knowledge discovery in multidimensional knowledge representation framework

Johannes Zenkert, André Klahold, Madjid Fathi
2018 Iran Journal of Computer Science  
This paper proposes integrative text mining as a solution to combine results from different dimensional analysis in a multidimensional knowledge representation (MKR) for knowledge discovery and visualization  ...  Analysis results from named entity recognition, topic detection, sentiment analysis and the extraction of semantic relationships are, therefore, integrated into a common representation structure.  ...  MKR is a representation format which allows the combination of different analysis results from integrative text mining and related methods in the knowledge base.  ... 
doi:10.1007/s42044-018-0019-0 fatcat:bgtrlo6oyjbwdjnlb5leempuge

Text Analysis for Knowledge Graphs

Roel Popping
2006 Quality & Quantity: International Journal of Methodology  
Next the text analysis part in the construction of such graphs is considered. Here the 'translation' from text to graph takes place.  ...  The method that is used here is compared to methods used in other approaches in which texts are analysed.  ...  First a short description of knowledge representation is given; necessary to place the subject of knowledge graphs. Next these graphs are introduced. The remaining text deals with text analysis.  ... 
doi:10.1007/s11135-006-9020-z fatcat:uldlkebysfdsliotw64gheahcu
« Previous Showing results 1 — 15 out of 208,499 results