Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web最新文献_第2页

Generating Context Acquisition Code using Awareness API 使用感知API生成上下文获取代码

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3131586

P. A. S. Duarte, Maria J. P. Peixoto, Yuri S. F. Frota, Windson Viana

引用次数: 0

Extracting Bus Lines Services Information from GPS Registries 从GPS注册表中提取公交线路服务信息

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126881

Daniel P. T. Dantas, Antonio A. Rocha, Marcos Lage

{"title":"Extracting Bus Lines Services Information from GPS Registries","authors":"Daniel P. T. Dantas, Antonio A. Rocha, Marcos Lage","doi":"10.1145/3126858.3126881","DOIUrl":"https://doi.org/10.1145/3126858.3126881","url":null,"abstract":"The efficiency of urban mobility is a huge concern of urban population around the world. Because of this reason, city planners spend much of their time monitoring transportations systems and designing solutions in order to improve the system's quality. Among these solutions, the most successful ones are computational tools called Intelligent Transportation Systems (ITS). The success of ITS has encouraged public agencies, owners of the public transportation system information, to share their datasets with the population aiming to stimulate the development of new research and solutions that could help to improve urban mobility. Taking advantage of this trend, this work uses the Rio de Janeiro buses GPS logs dataset to extract some of the main operational information about the city bus system. More specifically, garage locations, start and end points of a route, and the route (the complete sequence of streets) of a bus line are inferred.This information is extremely important for both city planners and population since administrators can benefit from it to better plan the transportation system and the population can become more informed about the system, what improves its reliability and overall usage satisfaction.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130020860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A Majority Voting Approach for Sentiment Analysis in Short Texts using Topic Models 基于主题模型的短文本情感分析的多数投票方法

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126861

R. Carmo, A. Lacerda, D. H. Dalip

{"title":"A Majority Voting Approach for Sentiment Analysis in Short Texts using Topic Models","authors":"R. Carmo, A. Lacerda, D. H. Dalip","doi":"10.1145/3126858.3126861","DOIUrl":"https://doi.org/10.1145/3126858.3126861","url":null,"abstract":"Nowadays people can provide feedback on products and services on the web. Site owners can use this kind of information in order to understand more their public preferences. Sentiment Analysis can help in this task, providing methods to infer the polarity of the reviews. In these methods, the classifier can use hints about the polarity of the words and the subject being discussed in order to infer the polarity of the text. However, many of these texts are short and, because of that, the classifier can have difficulties to infer these hints. We here propose a new sentiment analysis method that uses topic models to infer the polarity of short texts. The intuition of this approach is that, by using topics, the classifier is able to better understand the context and improve the performance in this task. In this approach, we first use methods to infer topics such as LDA, BTM and MedLDA in order to represent the review and, then, we apply a classifier (e.g. Linear SVM, Random Forest or Logistic Regression). In this method, we combine the results of classifiers and text representations in two ways: (1) by using single topic representation and multiple classifiers; (2) and using multiple topic representations and a single classifier. We also analyzed the impact of expanding these texts since the topic model methods can have difficulties to deal with the data sparsity present in these reviews. The proposed approach could achieve gains of up to 8.5% compared to our baseline. Moreover, we were able to determine the best classifier (Random Forest) and the best topic detection method (MedLDA).","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130990881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

An Ontology-based Representation Service of Context Information for the Internet of Things 基于本体的物联网上下文信息表示服务

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126894

E. Veiga, M. F. Arruda, J. Neto, R. B. Neto

引用次数: 4

Using Complex Networks to Assess Collaboration in Rap Music: A Study Case of DJ Khaled 用复杂网络评估说唱音乐中的合作:以DJ Khaled为例

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3131605

C. V. Araujo, Rayol Mendonca-Neto, F. Nakamura, E. Nakamura

引用次数: 10

Detecting Hate, Offensive, and Regular Speech in Short Comments 在短评论中检测仇恨、攻击性和常规言论

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3131576

Thais G. Almeida, Bruno A. Souza, F. Nakamura, E. Nakamura

引用次数: 9

Rate and Complexity-Aware Coding Scheme for Fixed-Camera Videos Based on Region-of-Interest Detection 基于兴趣区域检测的固定摄像机视频速率和复杂度感知编码方案

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3131599

Cristiano Santos, R. Conceição, L. Agostini, G. Corrêa, B. Zatt, M. Porto

引用次数: 2

Explaining Recommendations: Fidelity versus Interpretability 解释建议:忠实与可解释性

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3133312

D. Bridge

引用次数: 1

A Model-Driven Approach for Code Generation for Web-based Information Systems Built with Frameworks 基于框架的基于web的信息系统代码生成的模型驱动方法

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126863

Nilber Vittorazzi de Almeida, Silas Louzada Campos, V. Souza

引用次数: 4

Generating Entity Representation from Online Discussions: Challenges and an Evaluation Framework 从在线讨论中生成实体表示:挑战和评估框架

Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web Pub Date : 2017-10-17 DOI: 10.1145/3126858.3126882

T. C. Loures, Pedro O. S. Vaz de Melo, Adriano Veloso

{"title":"Generating Entity Representation from Online Discussions: Challenges and an Evaluation Framework","authors":"T. C. Loures, Pedro O. S. Vaz de Melo, Adriano Veloso","doi":"10.1145/3126858.3126882","DOIUrl":"https://doi.org/10.1145/3126858.3126882","url":null,"abstract":"Because of the ubiquitous use of the Internet in current society, it is easy to find groups or communities of people discussing about the most varied subjects. Learning about these subjects (or entities) from such discussions is of great interest for companies, organizations, public figures (e.g. politicians) and researchers alike. In this paper, we explore the problem of learning entity representations using online discussions about them as the only source of information. While such discussions may reveal relevant and surprising information about the corresponding subjects, they may also be completely irrelevant. As another challenge, while regular text documents usually contain a well structured language, online discussions often contain informal and mispelled words. Here we formally define the problem, propose a new benchmark for evaluating vector representation methods, and perform a deep evaluation of well-known techniques using three proposed evaluation scenarios: (i) clustering, (ii) ordering and (iii) recommendation. Results show that each method is better than at least one other in some evaluation.","PeriodicalId":338362,"journal":{"name":"Proceedings of the 23rd Brazillian Symposium on Multimedia and the Web","volume":"91 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116531794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3