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Feature-Based Visual Sentiment Analysis of Text Document Streams

Christian Rohrdantz, Ming C. Hao, Umeshwar Dayal, Lars-Erik Haug, Daniel A. Keim
2012 ACM Transactions on Intelligent Systems and Technology  
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

Lucia Vadicamo, Fabio Carrara, Andrea Cimino, Stefano Cresci, Felice Dell'Orletta, Fabrizio Falchi, Maurizio Tesconi
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
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

Weiwei Cui, Huamin Qu, Hong Zhou, Wenbin Zhang, Steve Skiena
2012 ACM Transactions on Intelligent Systems and Technology  
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

Daniel A. Keim, Milos Krstajic, Christian Rohrdantz, Tobias Schreck
2013 Computer  
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

Dilmini Rathnayaka, Pubudu K.P.N Jayasena, Iraj Ratnayake
2021 Advances in Technology  
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]

Gregor Wiedemann, Gerhard Heyer
2019 arXiv   pre-print
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]

Myra Spiliopoulou, Eirini Ntoutsi, Max Zimmermann
2016 Encyclopedia of Machine Learning and Data Mining  
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

Danuta Ploch, Andreas Lommatzsch, Florian Schultze
2016 Proceedings of ACL-2016 System Demonstrations  
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]

Ghazaleh Beigi, Xia Hu, Ross Maciejewski, Huan Liu
2016 Studies in Computational Intelligence  
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

Sun Sunnie Chung, Danielle Aring
2018 Journal of Data Analysis and Information Processing  
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

Dunja Mladenić, Marko Grobelnik, Blaž Fortuna, Delia Rusu
2012 Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics - WIMS '12  
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

Omar Yousef Adwan, Marwan Al-Tawil, Ammar Huneiti, Rawan Shahin, Abeer Abu Zayed, Razan Al-Dibsi
2020 International Journal of Emerging Technologies in Learning (iJET)  
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

Haruna Isah, Paul Trundle, Daniel Neagu
2014 2014 14th UK Workshop on Computational Intelligence (UKCI)  
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

Shilpy Gandharv, Vivek Richhariya, Vineet Richhariya
2017 International Journal of Computer Applications  
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

Songye Han, Shaojie Ye, Hongxin Zhang
2020 Computational Visual Media  
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
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