Message from the EDOC 2021 Workshop and Demo Chairs

Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record

Welcome to EICS 2016

[Extract] The ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS) is a yearly international conference devoted to engineering usable and reliable interactive computing systems. Research presented at EICS revolves around methods, processes, techniques and tools that support specifying, designing, developing, deploying and verifying interactive systems. This 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS'16) took place in Brussels, Belgium (21-24 June 2016) – at the heart of Europe...info:eu-repo/semantics/publishedVersio

Clustering Arabic Tweets for Sentiment Analysis

The focus of this study is to evaluate the impact of linguistic preprocessing and similarity functions for clustering Arabic Twitter tweets. The experiments apply an optimized version of the standard K-Means algorithm to assign tweets into positive and negative categories. The results show that root-based stemming has a significant advantage over light stemming in all settings. The Averaged Kullback-Leibler Divergence similarity function clearly outperforms the Cosine, Pearson Correlation, Jaccard Coefficient and Euclidean functions. The combination of the Averaged Kullback-Leibler Divergence and root-based stemming achieved the highest purity of 0.764 while the second-best purity was 0.719. These results are of importance as it is contrary to normal-sized documents where, in many information retrieval applications, light stemming performs better than root-based stemming and the Cosine function is commonly used

Clustering Arabic Tweets for Sentiment Analysis

The focus of this study is to evaluate the impact of linguistic preprocessing and similarity functions for clustering Arabic Twitter tweets. The experiments apply an optimized version of the standard K-Means algorithm to assign tweets into positive and negative categories. The results show that root-based stemming has a significant advantage over light stemming in all settings. The Averaged Kullback-Leibler Divergence similarity function clearly outperforms the Cosine, Pearson Correlation, Jaccard Coefficient and Euclidean functions. The combination of the Averaged Kullback-Leibler Divergence and root-based stemming achieved the highest purity of 0.764 while the second-best purity was 0.719. These results are of importance as it is contrary to normal-sized documents where, in many information retrieval applications, light stemming performs better than root-based stemming and the Cosine function is commonly used

MobileHCI 2017: Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services

Proceedings of the MobileHCI '17: 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, held in Vienna, Austria during 4th-7th September 2017 - https://mobilehci.acm.org/2017

Commonwealth Times 2007-02-01

https://scholarscompass.vcu.edu/com/2495/thumbnail.jp

The Anchor, Volume 118.11: November 17, 2004

The Anchor began in 1887 and was first issued weekly in 1914. Covering national and campus news alike, Hope College’s student-run newspaper has grown over the years to encompass over two-dozen editors, reporters, and staff. For much of The Anchor\u27s history, the latest issue was distributed across campus each Wednesday throughout the academic school year (with few exceptions). As of Fall 2019 The Anchor has moved to monthly print issues and a more frequently updated website. Occasionally, the volume and/or issue numbering is irregular