الصفحة 1
الصفحة 1
Ultimate aiu community = مجتمع الجامعة العربية الدولية المطلق
The inspiration for this project was the need to unify the university's disparate systems into a single, cohesive platform. By developing this system, we aimed to solve the fragmentation issue while leveraging the advancements in artificial intelligence to enhance the overall educational experience. The Ultimate AIU Community aims to streamline educational processes, foster community engagement, and provide a unified, intelligent solution for the modern era of education.This system consists of two main components: a mobile social media community application and an e-learning website. The mobile app allows students to share content, facilitated by an AI-driven toxicity detection model to ensure a respectful and safe environment. Additionally, the app serves as an information hub, displaying advertisements and updates from various campus entities such as instructors, student affairs, cafes, and bookshops.
Text, Speech and Dialogue ; 11th International Conference, TSD 2008, Brno, Czech Republic, September 8-12, 2008. Proceedings
This book includes text corpora and tagging; transcription problems in spoken corpora; sense disambiguation; links between text and speech oriented systems; parsing issues; parsing problems in spoken texts; multi-lingual issues; multi-lingual dialogue systems; information retrieval and information extraction; text/topic summarization; machine translation; semantic networks and ontologies; semantic web; speech modeling; speech segmentation; speech recognition; search in speech for IR and IE; text-to-speech synthesis; dialogue systems; development of dialogue strategies; prosody in dialogues; emotions and personality modeling; user modeling; knowledge representation in relation to dialogue systems; assistive technologies based on speech and dialogue; applied systems and software; facial animation; and visual speech synthesis
Text mining : Predictive methods for analyzing unstructured information
One consequence of the pervasive use of computers is that most documents originate in digital form. Text mining—the process of searching, retrieving, and analyzing unstructured, natural-language text—is concerned with how to exploit the textual data embedded in these documents. Text Mining presents a comprehensive introduction and overview of the field, integrating related topics (such as artificial intelligence and knowledge discovery and data mining) and providing practical advice on how readers can use text-mining methods to analyze their own data. Emphasizing predictive methods, the book unifies all key areas in text mining: preprocessing, text categorization, information search and retrieval, clustering of documents, and information extraction. In addition, it identifies emerging directions for those looking to do research in the area. Some background in data mining is beneficial, but not essential.
Text Data Mining
Offers a detailed introduction to the fundamental theories and methods of text data mining, ranging from pre-processing (for both Chinese and English texts), text representation and feature selection, to text classification and text clustering. It also presents the predominant applications of text data mining, for example, topic modeling, sentiment analysis and opinion mining, topic detection and tracking, information extraction, and automatic text summarization. Bringing all the related concepts and algorithms together, it offers a comprehensive, authoritative and coherent overview.
Multimodal Video Characterization and Summarization
Multimodal Video Characterization and Summarization is a valuable research tool for both professionals and academicians working in the video field. This book describes the methodology for using multimodal audio, image, and text technology to characterize video content. This new and groundbreaking science has led to many advances in video understanding, such as the development of a video summary. Applications and methodology for creating video summaries are described, as well as user-studies for evaluation and testing.
Evaluation of text summaries based on linear optimization of content metrics
Covers both theoretical contributions and practical applications in security system design by applying the Internet of Things (IoT) and CI. It further explains the application of IoT in the design of modern security systems and how IoT blended with computational intel- ligence can make any security system improved and realizable. Key features: Focuses on the computational intelligence techniques of security system design Covers applications and algorithms of discussed computational intelligence techniques Includes convergence-based and enterprise integrated security systems with their applications Explains emerging laws, policies, and tools affecting the landscape of cyber security Discusses application of sensors toward the design of security systems This book will be useful for graduate students and researchers in electrical, computer engineering, security system design and engineering
Egocentric video summarization
Video summarization is defined as the generation of a summary of extensive video content that comes from all kinds of videos including egocentric videos by detecting and presenting the material to potential users which is most informative and contains interesting information. Video summarization has many practical applications and Egocentric video summarization approaches have been proposed to solve various problems in the healthcare industry. This work focuses on Alzheimer. Patients suffering from Alzheimer’s face difficulties in remembering what happened during their day, the identity of persons and medicine they took.
Deep learning approach for text summarization
Machine learning and deep learning, as we know, have started ruling over almost every field in the computing industry and so, has revolutionized the process of text summarization too. Automatic text summarization is an advancing realm of the natural language processing research in which concise textual summaries are generated from lengthy input documents. Extensive research has been carried out on how automatic summarization can be prosecuted through various extractive and abstractive techniques. In this paper, we address all the approaches to text summarization and present the modus operandi of an Architecture called Encoder Decoder, under the machine learning approach.
Data Streams : Models and Algorithms
It primarily discusses issues related to the mining aspects of data streams rather than the database management aspect of streams. This volume covers mining aspects of data streams in a comprehensive style. Each contributed chapter, from a variety of well known researchers in the data mining field, contains a survey on the topic, the key ideas in the field from that particular topic, and future research directions.
Computer Processing of Oriental Languages. Beyond the Orient : The Research Challenges Ahead ; 21st International Conference, ICCPOL 2006, Singapore, December 17-19, 2006, Proceedings
This book constitutes the thoroughly refereed proceedings of the 21st International Conference on Computer Processing of Oriental Languages, ICCPOL 2006.The papers are organized in topical sections on information retrieval, document classification, questions and answers, summarization, machine translation, word segmentation, chunking, abbreviation expansion, writing-system issues, parsing, semantics, and lexical resources.
Computer Music Modeling and Retrieval Vol. 3902 ; 3rd International Symposium, CMMR 2005, Pisa, Italy, September 26-28, 2005, Revised Papers
This book constitutes the thoroughly refereed post-proceedings of the Third International Computer Music Modeling and Retrieval Symposium, CMMR 2005. the papers address a broad variety of topics. The papers are organized in topical sections on sound synthesis; music perception and cognition; interactive music: interface, interaction, gestures and sensors, music composition; music retrieval: music performance, music analysis, music representation; as well as interdisciplinarity and computer music.
Computational Processing of the Portuguese Language ; 7th International Workshop, PROPOR 2006, Itatiaia, Brazil, May 13-17, 2006, Proceedings
Since 1993, PROPOR Workshops have become an important forum for - searchers involved in the Computational Processing of Portuguese,both written and spoken. The workshop and this book were structured around the following main t- ics, seven for full papers: (i) automatic summarization; (ii) resources; (iii) au- matic translation; (iv) named entity recognition; (v) tools and frameworks; (vi) systems and models; and another ?ve topics for short papers; (vii) information extraction; (viii) speech processing; (ix) lexicon; (x) morpho-syntactic studies; (xi) web, corpus and evaluation.
Chinese Computational Linguistics ; 19th China National Conference, CCL 2020, Hainan, China, October 30 – November 1, 2020, Proceedings
This book constitutes the proceedings of the 19th China National Conference on Computational Linguistics, CCL 2020, held in Hainan, China, in October/November 2020. The 32 full and 2 short papers presented in this volume were carefully reviewed and selected from 99 submissions. They were organized in topical sections named: fundamental theory and methods of computational linguistics; information retrieval, dialogue and question answering; text generation and summarization; knowledge graph and information extraction; machine translation and multilingual information processing; minority language information processing; language resource and evaluation; social computing and sentiment analysis; and NLP applications.
Advances in information retrieval ; Vol. 3408 ; 27th European conference on IR research, ECIR 2005, Santiago de Compostela, Spain, March 21-23, 2005, Proceedings
These volume contain the refereed full papers and poster abstracts from 27th European Conference on IR Research, ECIR 2005, Spain, 2005. Including : Topics Information Storage and Retrieval / Artificial Intelligence / Database Management / Information Systems Applications (incl. Internet) / Multimedia Information Systems / Natural Language Processing (NLP)
