Results 81 to 90 of about 5,622,932 (269)
Journal of Writing Research, 2016 Citation practices have been and continue to be a concentrated area of research activity among writing researchers, spanning many disciplines. This research presents a re-analysis of a common data set contributed by Karatsolis (this issue), which focused
David Kaufer +2 more
doaj +1 more source
Full-Page Text Recognition: Learning Where to Start and When to Stop [PDF]
arXiv, 2017 Text line detection and localization is a crucial step for full page document analysis, but still suffers from heterogeneity of real life documents. In this paper, we present a new approach for full page text recognition. Localization of the text lines is based on regressions with Fully Convolutional Neural Networks and Multidimensional Long Short-Term
arxiv
A Scene-Text Synthesis Engine Achieved Through Learning from Decomposed Real-World Data [PDF]
arXiv, 2022 Scene-text image synthesis techniques that aim to naturally compose text instances on background scene images are very appealing for training deep neural networks due to their ability to provide accurate and comprehensive annotation information. Prior studies have explored generating synthetic text images on two-dimensional and three-dimensional ...
arxiv
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 +5 more
doaj +1 more source
Computational text analysis (CTA) comprises techniques for measuring the content of texts with the help of computer algorithms. The methods are discussed under various labels, such as text-as-data, automated content analysis, natural language processing, or text mining.
Marko Bachl, Michael Scharkow
openaire +1 more source
MORPHOLOGICAL ANALYSIS OF THE TEXT
, 2022 One of the foundations of a language is its vocabulary. However, what does a dictionary contain? Since the term "word" is too semantic for using it in a strict scientific text. The article deals with several concepts of the use of words in the text and morphological analysis.
openaire +2 more sources
Text categorization and similarity analysis: similarity measure, literature review [PDF]
, 2013 Document classification and provenance has become an important area of computer science as the amount of digital information is growing significantly. Organisations are storing documents on computers rather than in paper form.
Fowke, Michael +2 more
core +1 more source
Iranian Journal of Information Processing & Management, 2016 The present study was conducted to analyze the process of researches on the subject of emotional aspects in the field of information retrieval and mapping this field topic.From the methodological perspective, the present study is Descriptive survey and ...
Marzieh Yari Zanganeh +2 more
doaj
Learning Relationships between Text, Audio, and Video via Deep Canonical Correlation for Multimodal Language Analysis [PDF]
arXiv, 2019 Multimodal language analysis often considers relationships between features based on text and those based on acoustical and visual properties. Text features typically outperform non-text features in sentiment analysis or emotion recognition tasks in part because the text features are derived from advanced language models or word embeddings trained on ...
arxiv
COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images [PDF]
arXiv, 2016 This paper describes the COCO-Text dataset. In recent years large-scale datasets like SUN and Imagenet drove the advancement of scene understanding and object recognition. The goal of COCO-Text is to advance state-of-the-art in text detection and recognition in natural images.
arxiv