Results 31 to 40 of about 346,822 (289)

An improved deep convolutional neural network-based YouTube video classification using textual features

Heliyon
Video content on the web platform has increased explosively during the past decade, thanks to the open access to Facebook, YouTube, etc. YouTube is the second-largest social media platform nowadays containing more than 37 million YouTube channels ...
Ali Raza, Faizan Younas, Hafeez Ur Rehman Siddiqui, Furqan Rustam, Monica Gracia Villar, Eduardo Silva Alvarado, Imran Ashraf   +6 more
doaj   +1 more source

Using Statistical Properties to Enhance Text Categorization [PDF]

Journal of Systemics, Cybernetics and Informatics, 2015
Statistical properties extracted from text are useful in many areas. Knowing who authored some text or knowing the category of a text is among the uses of collecting such statistics.
Rached Zantout, Ziad Osman
doaj  

Text Classification Algorithms: A Survey

Information, 2019
In recent years, there has been an exponential growth in the number of complex documents and texts that require a deeper understanding of machine learning methods to be able to accurately classify texts in many applications.
Kamran Kowsari, Kiana Jafari Meimandi, Mojtaba Heidarysafa, Sanjana Mendu, Laura Barnes, Donald Brown   +5 more
doaj   +1 more source

Cluster Based Symbolic Representation for Skewed Text Categorization

, 2017
In this work, a problem associated with imbalanced text corpora is addressed. A method of converting an imbalanced text corpus into a balanced one is presented. The presented method employs a clustering algorithm for conversion.
Gowda, Harsha S, Guru, D S, Raju, Lavanya Narayana, Suhil, Mahamad   +3 more
core   +1 more source

Stressful Events Reported by Childhood Cancer Survivors and Community Controls From the St. Jude Lifetime (SJLIFE) Cohort: A Mixed Method Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware, Colter K. Clayton, Fang Wang, Sedigheh Mirzaei, Kyla Shelton, Tara M. Brinkman, Victoria Willard, Katianne M. Howard Sharp, Kevin Krull, Lindsay F. Schwartz, Melissa M. Hudson, Gregory T. Armstrong, Kirsten K. Ness, Rachel T. Webster   +13 more
wiley   +1 more source

Using Density Estimation to Improve Text Categorization [PDF]

, 2002
This paper explores the use of a statistical technique known as density estimation to potentially improve the results of text categorization systems which label documents by computing similarities between documents and categories.
Hatzivassiloglou, Vasileios, McKeown, Kathleen, Sable, Carl   +2 more
core   +3 more sources

A NOVEL TERM WEIGHTING SCHEME MIDF FOR TEXT CATEGORIZATION [PDF]

Journal of Engineering Science and Technology, 2010
Text categorization is a task of automatically assigning documents to a set of predefined categories. Usually it involves a document representation method and term weighting scheme.
C. DEISY, M. GOWRI, S. BASKAR, S.M.A. KALAIARASI, N. RAMRAJ   +4 more
doaj  

A Customizable Text Classifier for Text Mining

Data Science Journal, 2007
Text mining deals with complex and unstructured texts. Usually a particular collection of texts that is specified to one or more domains is necessary. We have developed a customizable text classifier for users to mine the collection automatically.
Yun-liang Zhang, Quan Zhang
doaj   +1 more source

Patient Activation in Childhood, Adolescent, and Young Adult Cancer Survivors: Current Insights and Implications for Survivorship Care—A Systematic Review From the e‐QuoL Project

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Patient activation—encompassing knowledge, confidence, and skills in managing individual's health—is a cornerstone of person‐centered care. However, its significance among childhood, adolescent, and young adult cancer survivors (CAYACS) remains unexplored. This article examines the application of the 13‐item Patient Activation Measure (
Charlotte Demoor‐Goldschmidt, Anne Maas, Gisela Michel, Amandine Bertrand, Kristen E. T. Thornton, Martine Bellanger, Anna‐Liesa Filbert, Desiree Grabow, Monica Muraca, Katharina Roser, Sara Oberti, Jelena Roganovic, Hanne Cathrine Lie   +12 more
wiley   +1 more source

Does network complexity help organize Babel's library? [PDF]

, 2015
In this work, we study properties of texts from the perspective of complex network theory. Words in given texts are linked by co-occurrence and transformed into networks, and we observe that these display topological properties common to other complex ...
Albert, Barabási, Barabási, Borges, Cárdenas, Cárdenas, Cárdenas, Dorogovtsev, Erdős, Ferrer-i-Cancho, Foster, Gerardo Vidal, Iván González, Juan Pablo Cárdenas, Kreyszig, Landini, Miguel Angel Fuentes, Montemurro, Montemurro, Newman, Newman, Newman, Newman, Newman, Newman, Reghizzi, Rugg, Schinner, Simon, Solé, Watts, Zipf   +31 more
core   +2 more sources