Search Results - Computer Learning and Pattern Recognition::Text/Document Processing

Large text document summarization based on an enhanced fuzzy logic approach by Yadav, Avaneesh Kumar, Ranvijay, Ranvijay, Yadav, Rama Shankar, Kumar, Vivek

“…In today’s digital world, there is an enormous and exponential growth in the amount of knowledge available online. When seeking precise and pertinent…”
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A novel squirrel search clustering algorithm for text document clustering by Chaudhary, Meena, Pruthi, Jyoti, Jain, Vinay Kumar, Suryakant

“… Clustering, a well-known machine learning and pattern recognition technique can be used effectively to categorize large datasets into subsets of consonant and colorant clusters. K-means…”
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EAML: ensemble self-attention-based mutual learning network for document image classification by Bakkali, Souhail, Ming, Zuheng, Coustaty, Mickaël, Rusiñol, Marçal

“… As many document types have a distinct visual style, learning only visual features with deep CNNs to classify document images has encountered the problem of low inter-class discrimination, and high…”
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Metric learning for text documents by Lebanon, G.

“…Many algorithms in machine learning rely on being given a good distance metric over the input space…”
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Deformity removal from handwritten text documents using variable cycle GAN by Nigam, Shivangi, Behera, Adarsh Prasad, Verma, Shekhar, Nagabhushan, P.

“…Text recognition systems typically work well for printed documents but struggle with handwritten documents due to different writing styles, background complexities, added noise of image acquisition…”
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Multi-class pattern classification using neural networks by Ou, Guobin, Murphey, Yi Lu

“…Multi-class pattern classification has many applications including text document classification, speech recognition, object recognition, etc…”
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A Statistical Language Modeling Framework for Extractive Summarization of Text Documents by Gupta, Pooja, Nigam, Swati, Singh, Rajiv

“…The availability of a large collection of text documents on a variety of topics, such as tweets, web pages, news articles, and stories, in different languages…”
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Semantic modeling and visualization of semantic groups of clinical text documents by Kenei, Jonah, Opiyo, Elisha

“…In this paper we present a method for modeling information in clinical narrative texts into coherent semantically meaningful classes using text classification…”
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Computer Vision Based Automatic Margin Computation Model for Digital Document Images by Guha, Abhijit, Samanta, Debabrata, Sengar, Sandeep Singh

“… We propose a computer vision-based text localization model, utilizing classical DIP techniques such as smoothing, thresholding, and morphological transformation to programmatically…”
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A hybrid model utilizing transfer learning for legal citation linking by Sheik, Reshma, Parida, Swati Sampada, Nirmala, S. Jaya

“…) open the path to rule legal text data processing tasks. Identifying and citing relevant laws and forums related to the legal text document is challenging for lawyers and other legal professionals…”
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Unsupervised mining of long time series based on latent topic model by Wang, Jin, Sun, Xiangping, She, Mary F.H., Kouzani, Abbas, Nahavandi, Saeid

“…, probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA). The proposed method treats each time series as a text document, and extracts a set…”
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Structural image retrieval using automatic image annotation and region based inverted file by Zhang, Dengsheng, Monirul Islam, Md, Lu, Guojun

“…•A novel region based inverted file for indexing and retrieval of images the same way as text documents…”
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An optimized CNN system to recognize handwritten characters in ancient documents in Grantha script by Jindal, Amar, Ghosh, Rajib

“…An optical character recognition (OCR) system plays an important role in the digitization of ancient handwritten text document…”
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On the classification of text documents taking into account their structural features by Gulin, V. V., Frolov, A. B.

“…A modification of the conventional bag of words model that can take into account the structural features of text documents in their classification (categorization…”
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Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents by Meystre, Stéphane M, Thibault, Julien, Shen, Shuying, Hurdle, John F, South, Brett R

“…) framework, and uses methods that are a hybrid between machine learning and pattern matching…”
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A novel semi supervised approach for text classification by Barman, Debaditya, Chowdhury, Nirmalya

“… It aims to assign a predefined class label or group to a new or unknown text document. Most of the time we need a collection of large data from each class to train the classifier…”
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An integrated clustering and BERT framework for improved topic modeling by George, Lijimol, Sumathy, P.

“…Topic modelling is a machine learning technique that is extensively used in Natural Language Processing (NLP…”
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Single document text summarization technique using optimal combination of cuckoo search algorithm, sentence scoring and sentiment score by Mandal, Shrabanti, Singh, Girish Kumar, Pal, Anita

“… Text summarization is a technique of data mining which is used to represent text document in a concise manner…”
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Analyzing social psychological impact on emotional expression through peer communication using crayfish optimization algorithm with deep learning model by Alzubaidi, Umkalthoom

“… The insights gained will advance the fields of social psychology and human-computer interaction (HCI…”
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Fine-grained entity type classification using GRU with self-attention by Dhrisya, K., Remya, G., Mohan, Anuraj

“… The entity recognition task is a type of information extraction that attempts to find and classify named entities appearing in the unstructured text document…”
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