A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Feature-Based Visual Sentiment Analysis of Text Document Streams
2012
ACM Transactions on Intelligent Systems and Technology
Preserved Fulltext
This article describes automatic methods and interactive visualizations that are tightly coupled with the goal to enable users to detect interesting portions of text document streams. ...
Finally, application case studies on two different datasets and scenarios are conducted and an extensive evaluation is provided for the presented intelligent visual interface for feature-based sentiment ...
FEATURE-BASED SENTIMENT ANALYSIS IN DOCUMENT STREAMS The kind of data we deal with does not have a predefined limited topic coverage. ...
doi:10.1145/2089094.2089102
fatcat:juzskfwcsfaw3ngmsyvr5w6ple
Cross-Media Learning for Image Sentiment Analysis in the Wild
2017
2017 IEEE International Conference on Computer Vision Workshops (ICCVW)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We assessed the validity of our model by conducting comparative studies and evaluations on a benchmark for visual sentiment analysis. ...
Much progress has been made in the field of sentiment analysis in the past years. ...
We gratefully acknowledge the support of NVIDIA Corporation with the donation of the Tesla K40 GPU used for this research. ...
doi:10.1109/iccvw.2017.45
dblp:conf/iccvw/VadicamoCCCDFT17
fatcat:bn2fmfywnjghvgvvbfuerx5ina
Watch the Story Unfold with TextWheel
2012
ACM Transactions on Intelligent Systems and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Keyword-based searching and clustering of news articles have been widely used for news analysis. ...
In this article we present a visual analytics system for news streams which can bring multiple attributes of the news articles and the macro/micro relations between news streams and keywords into one coherent ...
Sentiment Analysis Sentiment analysis of natural language texts is a large and growing field, surveyed in Pang and Lee [2008] . Previous work falls naturally in two groups. ...
doi:10.1145/2089094.2089096
fatcat:nlamewhgjzagfa7hipf6x4amfu
Real-Time Visual Analytics for Text Streams
2013
Computer
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
His research interests include the visual analysis of cross-linguistic data, text time series, and real-time text streams. ...
taxonomy of word-, sentence-, and document-based text-processing methods based on tradeoffs in accuracy and efficiency. ...
doi:10.1109/mc.2013.152
fatcat:zzstaw2duzaehguwfw2xjidsu4
Literature review on Real-time Location-Based Sentiment Analysis on Twitter
2021
Advances in Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
diverse algorithms.This paper is discussing the major description of sentiment analysis, data collection methods, data pre-processing, feature extraction, and sentiment analysis methods related to Twitter ...
Location-based Twitter data analysis is another crucial aspect of sentiment analyses, that enables data sorting according to geo-location, and this paper describes the way of analyzing Twitter data based ...
Document-based sentiment analysis is considering the pinion about a subjective topic which is exhibited by the documents. ...
doi:10.31357/ait.v1i2.4936
fatcat:qt2fis5icvc2lcr4pza6owjtrq
Page Stream Segmentation with Convolutional Neural Nets Combining Textual and Visual Features
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
In a digitization project together with a German federal archive, we developed a novel approach based on convolutional neural networks (CNN) combining image and text features to achieve optimal document ...
To facilitate workflows involving very large amounts of paper scans, page stream segmentation (PSS) is the task to automatically separate a stream of scanned images into multi-page documents. ...
Acknowledgements This work has been realized at the Leipzig University in the joint research project "Knowledge Management of Legacy Documents in Science, Administration and Industry" together with the ...
arXiv:1710.03006v3
fatcat:p43hdocpa5cbpdzduzxyybdfna
Opinion Stream Mining
[chapter]
2016
Encyclopedia of Machine Learning and Data Mining
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Opinion stream mining aims at learning and adaptation of a polarity model over a stream of opinionated documents, i.e., documents associated with a polarity. ...
In this chapter, we overview methods for polarity learning in a stream environment focusing especially on how these methods deal with the challenges imposed by the stream nature of the data, namely the ...
An example of co-training on a stream of tweets is in Liu et al. (2013) : the complete feature space encompasses both text features (such as adjectives) and non-text features (e.g., emoticons). ...
doi:10.1007/978-1-4899-7502-7_905-1
fatcat:d2fgtvgjzbhz7pkmt44amrfpmy
An Advanced Press Review System Combining Deep News Analysis and Machine Learning Algorithms
2016
Proceedings of ACL-2016 System Demonstrations
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
The system enables us demonstrating the live analyzes of news and social media streams as well as the strengths of advanced text mining algorithms for creating a comprehensive media analysis. ...
The system collects documents from heterogeneous sources and enriches the documents applying different mining, filtering, classification, and aggregation algorithms. ...
Visualization We implemented a web-based user interface visualizing the collected and annotated documents and tweets. ...
doi:10.18653/v1/p16-4019
dblp:conf/acl/PlochLS16
fatcat:3blisgl2ifd4xnnwfemk3manvu
An Overview of Sentiment Analysis in Social Media and Its Applications in Disaster Relief
[chapter]
2016
Studies in Computational Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
In order to enable quick analysis of real-time geo-distributed data, we will detail applications of visual analytics with an emphasis on sentiment visualization. ...
a given piece of text. ...
IN-SPIRE supports sentiment visualization of blogs and streaming contents. ...
doi:10.1007/978-3-319-30319-2_13
fatcat:aajzoeahsngtpg4ybvqm32hwem
Integrated Real-Time Big Data Stream Sentiment Analysis Service
2018
Journal of Data Analysis and Information Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
text streams effectively in real time with two fully analytic opinion mining models to combat the scale of text data streams and the complexity of sentiment analysis processing on unstructured text streams ...
We propose two aspect based opinion mining models: Deterministic and Probabilistic sentiment models for a real time sentiment analysis on the user given topic related data streams. ...
Acknowledgements The research in this paper was partially supported by the Engineering College of CSU under the Graduate Research grant. ...
doi:10.4236/jdaip.2018.62004
fatcat:6l6v2np6fjdjrgijo6datswvsy
Text stream processing
2012
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics - WIMS '12
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
Sentiment
Analysis
Sentiment
Analysis
Social
Network
Analysis
Social
Network
Analysis
Text Stream
Processing Results
ailab.ijs.si
Topic Detection
Religion
Art
ailab.ijs.si ...
and resolution
• Word sense disambiguation
• Summarization
• Sentiment analysis
• Social network analysis
Text stream
processing
Text stream
processing
• Key literature overview
• Further ...
doi:10.1145/2254129.2254138
dblp:conf/wims/MladenicGFR12
fatcat:tjkukeyxg5cthcgyaulvxw3agm
Twitter Sentiment Analysis Approaches: A Survey
2020
International Journal of Emerging Technologies in Learning (iJET)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Twitter sentiment analysis tackles the problem of analyzing users' tweets in terms of thoughts, interests and opinions in a variety of contexts and domains. ...
and visualization. ...
TF-IDF technique was used to conduct text sentiment analysis using R. ...
doi:10.3991/ijet.v15i15.14467
fatcat:uapdaucwevchrgvrrw5mrfilvi
Social media analysis for product safety using text mining and sentiment analysis
2014
2014 14th UK Workshop on Computational Intelligence (UKCI)
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2015 pre-print arXiv:1510.05301v1 fatcat:fgwuhdhtr5b25orkrdp4nduffq
learning, text mining and sentiment analysis, the application of the proposed framework on Facebook comments and data from Twitter for brand analysis, and the description of how to develop a product safety ...
The initial brand and product comparison results signify the usefulness of text mining and sentiment analysis on social media data while the use of machine learning classifier for predicting the sentiment ...
We adapted a simple feature selection or pre-processing method to transform or tokenize the text stream to words; these methods constitute a sequence of the following tasks; removing delimiters, converting ...
doi:10.1109/ukci.2014.6930158
dblp:conf/ukci/IsahTN14
fatcat:gtnuon23t5f37lilrz24yonmay
Real Time Text Mining on Twitter Data
2017
International Journal of Computer Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Twitter information aren't solely tweet texts, as Twitter's API provides a lot of info to perform attention-grabbing analysis studies. ...
pre-process the tweets text and than we can analyse the preprocess data by visualizing them. ...
, analysis and visualization of Twitter knowledge. ...
doi:10.5120/ijca2017915779
fatcat:sc55pimnrvehxn5cxj6qtpg7ye
Visual exploration of Internet news via sentiment score and topic models
2020
Computational Visual Media
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We use this framework to provide a web-based interactive visualization system. We demonstrate the applicability and effectiveness of our proposed system using case studies involving blockchain news. ...
To overcome these challenges, we propose a novel visualization-driven approach for analyzing news text. ...
Wei Chen, who provided suggestions on how to build an interactive visualization system, and Mrs. Liyan Liu, who provided valuable ideas on how to conduct standardized tests. ...
doi:10.1007/s41095-020-0178-4
fatcat:kup4mhwo2bc2rpycfqyspxs7qi
« Previous
Showing results 1 — 15 out of 16,064 results