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Detecting and Analyzing Stress Based on Social Interactions in Social Networks
2018
International Journal of Computing Communications and Networking
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In each tweet, the top part is tweet content with text and an image; the bottom part shows the social interactions of tweets where there are multiple indicators of stress: mentions of 'busy' and 'stressed ...
We demonstrate its utility by examining differences in language use between PTSD and random individuals, building classifiers to separate these two groups and by detecting elevated rates of PTSD at and ...
The tweet-level attributes are mainly composed of linguistic, visual, and social attention (i.e., being liked, retweeted, or commented) attributes extracted from a single-tweet's text, image, and attention ...
doi:10.30534/ijccn/2018/17722018
fatcat:dtrrzc4a2bd2vgisjtglxorrza
Layout and Content Extraction for PDF Documents
[chapter]
2004
Lecture Notes in Computer Science
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The outlines, style attributes and the contents of the logical components were extracted and expressed in an XML format. ...
These techniques could facilitate the reuse and modification of the layout and the content of a PDF document page. ...
Acknowledgement We want to thank our colleague Steve Simske for providing the document image segmentation tool, Lei He at Atlanta Armstrong University for testing the image segmentation tool and developing ...
doi:10.1007/978-3-540-28640-0_20
fatcat:f55spdmtfnbnnbeyqvb7gsrtky
Secure File/Data Transfer Between Airgap Network
2021
International Journal of Scientific Research in Science Engineering and Technology
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It is always expensive and hard to manage the data manually without adopting machine learning and image processing techniques using metadata. ...
In this scenario Air Gap Data Communication, Machine Leaning (ML) and image processing brings an important role in the electronic data management. ...
When the user selects the image option, the image is analyzed and the text inside the image is been converted to text format and the confidentiality of that text is also analyzed. ...
doi:10.32628/ijsrset21843
fatcat:mkak566bizf6zn5lwrjzkpjugm
A Semantic-Based System for Querying Personal Digital Libraries
[chapter]
2004
Lecture Notes in Computer Science
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All the extracted information is then encoded with respect to a reference ontology, so that the user can query his digital library by typing free text or browsing the ontology. ...
These motivations drove us to design a new system which could enable the user to interact and query documents independently from the digital formats in which they are represented. ...
OntoDoc uses a reference ontology to represent a conceptual model of the digital library domain, distinguishing between text, image and graph regions of a document, providing attribute relations for them ...
doi:10.1007/978-3-540-28640-0_4
fatcat:gk55t7uknnawjo3ihhprizyxoy
OntoDoc: an ontology-based query system for digital libraries
2004
Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.
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All the extracted information is then encoded with respect to a reference ontology, so that the user can query his digital library by typing free text or browsing the ontology. ...
These motivations drove us to design a new system which could enable the user to interact and query documents independently from the digital formats in which they are represented. ...
OntoDoc uses a reference ontology to represent a conceptual model of the digital library domain, distinguishing between text, image and graph regions of a document, providing attribute relations for them ...
doi:10.1109/icpr.2004.1334348
dblp:conf/icpr/CinqueMN04
fatcat:pqcdl4px5zegzhd3nqhrjqmj4i
Navigating Connected Memories with a Task-oriented Dialog System
[article]
2022
arXiv
pre-print
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In this work, we propose dialogs for connected memories as a powerful tool to empower users to search their media collection through a multi-turn, interactive conversation. ...
We analyze COMET, formulate four main tasks to benchmark meaningful progress, and adopt state-of-the-art language models as strong baselines, in order to highlight the multimodal challenges captured by ...
As shown, GPT2-text uses attribute strings to represent memories, while GPT2-MM use image features. ...
arXiv:2211.08462v1
fatcat:4pf4mtyupbgkbfzqn7yqcwfoli
Web accessibility technology at the IBM Tokyo Research Laboratory
2004
IBM Journal of Research and Development
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This provides an alternate text description of the image for user agents that cannot display images. However, providing an inappropriate ALT attribute makes the situation worse, not better. ...
Without this tool, page designers cannot avoid using accessibility checkers that analyze HTML tags and attributes. ...
doi:10.1147/rd.485.0735
fatcat:ssoc5xm32jgfbpucsmhs4lzg64
IMAGE SENTIMENTAL ANALYSIS: AN OVERVIEW
2022
Zenodo
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Images and videos are increasingly being used by social media users to express their ideas and share their experiences. ...
This paper introduces the area of Image Sentiment Analysis and examines the issues that it raises. ...
Image context, image content (i.e. image content provided by scene, face, and dominant color detectors), user context, and text features were all taken into account (i.e. image tags). ...
doi:10.5281/zenodo.6507385
fatcat:t4ppdghzlvg2neswfsfovbvoai
From Multimodal to Unimodal Webpages for Developing Countries
[article]
2017
arXiv
pre-print
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The multimodal web elements such as text and images are associated with inherent memory costs to store and transfer over the Internet. ...
With the limited network connectivity in developing countries, webpage rendering gets delayed in the presence of high-memory demanding elements such as images (relative to text). ...
Then the percentage of cost-saved is (389.8 − 33.64) × 100/33.64 = 1058.74%. (3) Achieved cost-saving: We used fixation indices (FIs) of the query image element and the obtained text element to analyze ...
arXiv:1711.02068v1
fatcat:7vyjdquz3fhqjkyb4mdyylsksu
Dank or not? Analyzing and predicting the popularity of memes on Reddit
2021
Applied Network Science
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We also find that both image related and textual attributes have significant incremental predictive power over each other. ...
Using machine learning methods, we also study what incremental predictive power image related attributes have over textual attributes on meme popularity. ...
We also analyzed high level image attributes that aim to describe the semantic meaning present in images. ...
doi:10.1007/s41109-021-00358-7
pmid:33718590
pmcid:PMC7939928
fatcat:4qss7gssbrgcxcj6qcuavy2oaq
Convolutional Neural Network-Based Cross-Media Semantic Matching and User Adaptive Satisfaction Analysis Model
2022
Computational Intelligence and Neuroscience
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The spatial correlation of cross-media semantic matching further improves the classification accuracy of hyperspectral images and reduces the classification time under user adaptive satisfaction complexity ...
the feature information of the image and uses dilated instead of traditional convolution. ...
By analyzing the user satisfaction scores of current search results and the number of selected recommendation words, we explore the relationship between user adaptive satisfaction and user selection of ...
doi:10.1155/2022/4244675
pmid:35535181
pmcid:PMC9078763
fatcat:5gdiv7u6rra6xjcmfe4jim77ne
Exploring Web Attributes Related to Image Accessibility and their Impact on Search Engine Indexing
2015
Procedia Computer Science
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The purpose of this study is to analyze how search engines index web content inserted in image attributes for alternative/complementary texts that favor web page accessibility. ...
The study discussed the importance of optimizing websites to improve search tool indexing and explored how these engines index image attributes. ...
The relationship between accessibility and SEO goes beyond alternative/complementary image texts. ...
doi:10.1016/j.procs.2015.09.261
fatcat:2fj2cnxxszd5ph23bzgwcjmplm
Search your memory ! - an associative memory based desktop search system
2009
Proceedings of the 35th SIGMOD international conference on Management of data - SIGMOD '09
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Desktop resources are connected in XSearcher with semantic links by analyzing user activities and the contexts in which the user works. ...
CA CAs represent the content-based associations created by analyzing the content and attributes of desktop resources. ...
doi:10.1145/1559845.1559992
dblp:conf/sigmod/ChenGWX09
fatcat:ehciyuko3jeulp5nguvz3h5jba
Towards User Profiling From Multiple Online Social Networks
2019
Procedia Computer Science
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The tags deliver a user explanation and used to retrieve smoothen data and another implementation of Yelp. ...
The tags deliver a user explanation and used to retrieve smoothen data and another implementation of Yelp. ...
The real information from online social sites is analyzed and grouped with regards to diverse features like images, movements, geographic location and text data. ...
doi:10.1016/j.procs.2020.01.006
fatcat:ei75fxhdcfeklkwfdkgc7fcygi
"Is a picture really worth a thousand words?": A case study on classifying user attributes on Instagram
2018
PLoS ONE
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Our study highlights that future research should look to exploit images to a greater degree because they complement text and there are many unexamined images with no embedded text available. ...
We then build age and gender classification models that yield F1 scores of up to 88% and 74% in the detection of age and gender, respectively, and that better characterize users by images than by tags. ...
Because of this strong connection between users and social media, online behaviors often reflect various user characteristics, such as age, gender, emotion, interests, attitude, and personality. ...
doi:10.1371/journal.pone.0204938
fatcat:abeoh4msdjh3tj7jbjpqzqfwv4
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