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- short-paperNovember 2023
Granular IoT Device Identification Using TF-IDF and Cosine Similarity
CPSIoTSec '23: Proceedings of the 5th Workshop on CPS&IoT Security and PrivacyPages 91–99https://doi.org/10.1145/3605758.3623492Internet of things (IoT) devices are becoming more prevalent in home environments and are shown to be generally insecure. There have been many previous studies looking to identify unknown IoT devices on networks. To truly secure a network however, there ...
- short-paperMarch 2023
The Answer lies in User Experience: Qualitative Comparison of US and South Korean Perceptions of In-home Robotic Pet Interactions
HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot InteractionPages 306–310https://doi.org/10.1145/3568294.3580094This paper describes a user experience comparison study to explore whether a user's 'cultural background' affects their interaction with in-home pet robots designed for health purposes, e.g. socially-assistive robots (SARs). 11 Koreans and 10 Americans ...
- research-articleMay 2022
Unsupervised tweets categorization using semantic and statistical features
Multimedia Tools and Applications (MTAA), Volume 82, Issue 6Pages 9047–9064https://doi.org/10.1007/s11042-022-13042-4AbstractClustering is one of the widely used techniques in information retrieval. This experiment intends to categorize Tweets (based on their content) as representative of social media/user-generated content by exploiting statistical and semantic ...
- research-articleMarch 2022
SCAN: A shared causal attention network for adverse drug reactions detection in tweets
AbstractTwitter is a popular social media site on which people post millions of Tweets every day. As patients often share their experiences with drugs on Twitter, Tweets can also be considered as a rich alternative source of adverse drug ...
- abstractMarch 2022
Finding the Most Relevant Pages of the Learning Materials on which a Student Just Focuses
SIGCSE 2022: Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2Page 1172https://doi.org/10.1145/3478432.3499207University curricula have the foundation subjects at the basic undergraduate students and the application subjects at the advanced undergraduate students. The basic undergraduate students are difficult to keep the motivation and imagine the connection ...
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- research-articleOctober 2021
CDP: Towards Optimal Filter Pruning via Class-wise Discriminative Power
MM '21: Proceedings of the 29th ACM International Conference on MultimediaPages 5491–5500https://doi.org/10.1145/3474085.3475680Neural network pruning has shown promising performance in reducing computational complexity and facilitate the deployment of deep neural networks on resource-limited edge devices. Most existing pruning methods focus on the indicators of the filter's ...
- research-articleJanuary 2021
Improving sentiment analysis using preprocessing techniques and lexical patterns
International Journal of Data Analysis Techniques and Strategies (IJDATS), Volume 13, Issue 3Pages 171–185https://doi.org/10.1504/ijdats.2021.118022Sentiment analysis has recently gained considerable attention, since the classification of the emotional content of a text (online reviews, blog messages etc.) may have a relevant impact on market research, political science and many other fields. In this ...
- research-articleNovember 2020
Deep learning approaches to classify the relevance and sentiment of news articles to the economy
CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software EngineeringPages 207–216We consider a text classification task over an open source dataset involving news snippets and their relevance to the US economy. Text classification and sentiment analysis have been performed using nine different classifiers among which three are the ...
- ArticleSeptember 2020
S2RSCS: An Efficient Scientific Submission Recommendation System for Computer Science
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence PracticesPages 186–198https://doi.org/10.1007/978-3-030-55789-8_17AbstractWith the increasing number of scientific publications as well as conferences and journals, it is often hard for researchers (especially newcomers) to find a suitable venue to present their studies. A submission recommendation system would be ...
- research-articleNovember 2020
A Qualitative Evaluation of Language Models on Automatic Question-Answering for COVID-19
BCB '20: Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health InformaticsArticle No.: 33, Pages 1–9https://doi.org/10.1145/3388440.3412413COVID-19 (2019 Novel Coronavirus) has resulted in an ongoing pandemic and as of 26 July 2020, has caused more than 15.7 million cases and over 640,000 deaths. The highly dynamic and rapidly evolving situation with COVID-19 has made it difficult to ...
- research-articleJanuary 2020
Applications of tf-idf concept to improve monolingual and cross-language information retrieval based on word embeddings
AISS '19: Proceedings of the 1st International Conference on Advanced Information Science and SystemArticle No.: 16, Pages 1–6https://doi.org/10.1145/3373477.3373493This work applied word embeddings for English monolingual information retrieval and Dutch-English cross-language information retrieval. Besides word embeddings, this work also applied tf-idf concept to increase result of relevant documents. We present ...
- research-articleSeptember 2019
ARA: Aggregated RAPPOR and Analysis for Centralized Differential Privacy
AbstractDifferential privacy (DP) has now become a standard in case of sensitive statistical data analysis. The two main approaches in DP are local and central. Both the approaches have a clear gap in terms of data storing,amount of data to be analyzed, ...
- research-articleJuly 2019
Color Extraction from Lyrics
CACRE2019: Proceedings of the 2019 4th International Conference on Automation, Control and Robotics EngineeringArticle No.: 18, Pages 1–6https://doi.org/10.1145/3351917.3351991We establish a procedure for color extraction from lyrics based on the distributed semantic representation obtained by word2vec. To extract colors from lyrics, we exploit the fact that the cosine similarities between words and color names tend to ...
- research-articleDecember 2018
Hot Topic Detection on Newspaper
SoICT '18: Proceedings of the 9th International Symposium on Information and Communication TechnologyPages 114–121https://doi.org/10.1145/3287921.3287965Online newspaper nowadays is gradually replacing the traditional one and the variety of articles on newspaper motivated the need for capturing hot topics to give Internet users a shortcut to the hot news. A hot topic always reflects the people's concern ...
- research-articleNovember 2018
Fostering Civil Discourse Online: Linguistic Behavior in Comments of #MeToo Articles across Political Perspectives
Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Volume 2, Issue CSCWArticle No.: 147, Pages 1–28https://doi.org/10.1145/3274416Linguistic style and affect shape how users perceive and assess political content on social media. Using linguistic methods to compare political discourse on far-left, mainstream and alt-right news articles covering the #MeToo movement, we reveal ...
- posterMay 2018
Can Rough Co-citation Improve the Performance of Co-citation Clustering?
JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital LibrariesPages 329–330https://doi.org/10.1145/3197026.3203908Co-citation clustering is often used for mapping science in the field of bibliometrics. It may be useful to utilize information from parsing the full-text of citing documents to obtain a more precise result of the clustering. Recently, "rough co-...
- posterMay 2018
Keyphrase Extraction Based on Prior Knowledge
JCDL '18: Proceedings of the 18th ACM/IEEE on Joint Conference on Digital LibrariesPages 341–342https://doi.org/10.1145/3197026.3203869Keyphrase is an important way to quickly get the topic of a document by providing highly-summative information. The previous approaches for keyphrase extraction simply rank keyphrases according to statistics-based model or graph-based model, which ...
- research-articleJanuary 2018
Smart Query Optimization Approach In Distributed Environment
Procedia Computer Science (PROCS), Volume 126, Issue CPages 355–362https://doi.org/10.1016/j.procs.2018.07.269AbstractOn a distributed enterprise scale, the information is stretched among heterogenous sites and treated always separately. Searching through different sites may become a difficult task due to the context variation between the distributed system ...
- research-articleJanuary 2018
BM25-CTF: Improving TF and IDF factors in BM25 by using collection term frequencies
- Sergio Jimenez,
- Silviu-Petru Cucerzan,
- Fabio A. Gonzalez,
- Alexander Gelbukh,
- George Dueñas,
- David Pinto,
- Vivek Kumar Singh,
- Aline Villavicencio,
- Philipp Mayr-Schlegel,
- Efstathios Stamatatos
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology (JIFS), Volume 34, Issue 5Pages 2887–2899https://doi.org/10.3233/JIFS-169475In this paper, the use of collection term frequencies (i.e. the total number of occurrences of a term in a document collection) in the BM25 retrieval model is investigated by modifying its term frequency (TF) and inverse document frequency (IDF) ...
- research-articleDecember 2017
Sentiment Analysis on the Impact of K-12 Program in the Philippines using Naïve Bayes and Lexicon Approach with Code Switching
ICIT '17: Proceedings of the 2017 International Conference on Information TechnologyPages 103–106https://doi.org/10.1145/3176653.3176683The implementation of K-12 program in the Philippines caused many issues concerning the preparedness of the country to implement it in regards to the country's resources. The ability of the people to afford the cost of the program, the facilities, the ...