Titlebook: Natural Language Processing and Information Systems; 23rd International C Max Silberztein,Faten Atigui,Farid Meziane Conference proceedings

调戏

书目名称Natural Language Processing and Information Systems影响因子(影响力)




书目名称Natural Language Processing and Information Systems影响因子(影响力)学科排名




书目名称Natural Language Processing and Information Systems网络公开度




书目名称Natural Language Processing and Information Systems网络公开度学科排名




书目名称Natural Language Processing and Information Systems被引频次




书目名称Natural Language Processing and Information Systems被引频次学科排名




书目名称Natural Language Processing and Information Systems年度引用




书目名称Natural Language Processing and Information Systems年度引用学科排名




书目名称Natural Language Processing and Information Systems读者反馈




书目名称Natural Language Processing and Information Systems读者反馈学科排名

neutralize

Automatic Identification and Classification of Misogynistic Language on Twitterorization of misogynous language in online social media. The main contribution of this paper is two-fold: (1) a corpus of misogynous tweets, labelled from different perspective and (2) an exploratory investigations on NLP features and ML models for detecting and classifying misogynistic language.

毕业典礼

Assessing the Effectiveness of Affective Lexicons for Depression Classificationlop two lexical feature engineering strategies for incorporating those lexicons into a supervised classifier. The effectiveness of different lexicons and feature engineering strategies are evaluated on a depression dataset collected from LiveJournal.

寡头政治

Conference proceedings 20182018, held in Paris, France, in June 2018. .The 18 full papers, 26 short papers, and 9 poster papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: Opinion Mining and Sentiment Analysis in Social Media; Semantics-Based

Decimate

不规则的跳动

A Proposal for Book Oriented Aspect Based Sentiment Analysis: Comparison over Domainsent analysis. It contains book reviews published in Amazon, which is a new domain of application in . literature. The annotation process and its characteristics are described, as well as a comparison with other datasets. This paper focuses on this comparison, addressing the different subtasks and analyzing their performance and properties.

fiscal

cavity

Semantic Mapping of Security Events to Known Attack Patternsns in Common Attack Pattern Enumeration and Classification (CAPEC). The system has been deployed in our partner company and when evaluated against the recommendations of two security analysts, achieved an f-measure of 64.57%.

占线

充满装饰

Arabic Question Classification Using Support Vector Machines and Convolutional Neural Networksstage, we identify the coarse/main question class using an SVM model; in the second stage, for each coarse question class returned by the SVM model, a CNN model is used to predict the subclass (finer class) of the main class. The performed tests have shown that our approach to Arabic Questions Classification yields very promising results.