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A Graph-Based Approach to Topic Clustering for Online Comments to News [chapter]

Ahmet Aker, Emina Kurtic, A. R. Balamurali, Monica Paramita, Emma Barker, Mark Hepple, Rob Gaizauskas
2016 Lecture Notes in Computer Science  
This paper investigates graph-based approaches to labeled topic clustering of reader comments in online news.  ...  To label the clusters our graph-based approach makes use of DBPedia to abstract topics extracted from the clusters.  ...  Acknowledgements The research leading to these results has received funding from the EU -Seventh Framework Program (FP7/2007-2013) under grant agreement n610916 SENSEI.  ... 
doi:10.1007/978-3-319-30671-1_2 fatcat:of32i7kbeffdpdew5k5572kxsu

Hyper Spectral Prevalent News Customization System With Sentimental Analysis

Geethu Rajeev
2019 International Journal of Information Systems and Computer Sciences  
Users can share the valuable information from online news media to online social media. Online user generated reviews become an inevitable part of decision making process.  ...  Natural language processing technologies is used for online reviews. Analyzing the overall sentiment expressed in a whole piece of text or in the form of like or dislike.  ...  The main purpose of graph clustering also proposed a method that clusters a co-occurrence graph based on a graph measure known as transitivity. The basic idea of Graph clustering is transitivity.  ... 
doi:10.30534/ijiscs/2019/34822019 fatcat:chibog4kenekbbnb62l62zqcza

Using Natural Language Processing for Detection of Events and Spam Control from user Data Stream in Social Sites

Roshani M. Shete, Prof. S. W. Mohod
2015 International Journal of Engineering Research and  
Detecting trending topics is perfect to summarize information getting from social media. To extract what topic is becoming hot on online media is one of the challenges.  ...  For now whatever work has been done is narrated below like spam control using natural language processing for preprocessing and clustering. One account has been created for making it real.  ...  I am extremely grateful to him for his sincere, expert and valuable guidance extended to me.  ... 
doi:10.17577/ijertv4is041038 fatcat:bmun6nsfjzg6teg5hltan7mpa4

User Interest and Topic Detection for Personalized Recommendation

Xuning Tang, Mi Zhang, Christopher C. Yang
2012 2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology  
In this paper, we propose a novel graphical model to extract hidden topics from web contents, cluster web contents, and detect users' interests on each cluster.  ...  Typically, recommender systems rely on a bipartite graph model to capture user interest.  ...  To facilitate user prediction in online forum, it is essential to have a new model which combines the strengths of clustering and topic modeling.  ... 
doi:10.1109/wi-iat.2012.62 dblp:conf/webi/TangZY12 fatcat:gqdk5by4tbglherffs2aspjfwa

Topical Community Detection in Event-based Social Network [article]

Houda Khrouf, Raphaël Troncy
2018 arXiv   pre-print
In this paper, we propose to leverage the users' activities around events with the aim to detect communities based on topical clustering and link analysis that maximize a new form of semantic modularity  ...  In reality, a community in event-based social network (ESBN) is a group of users not only sharing common events and friends, but also having similar topical interests.  ...  In this paper, we have proposed a new hierarchical based approach to mine topical communities from event information.  ... 
arXiv:1803.04354v1 fatcat:66n6ag6dtvgjpo7yywpjg7gcxu

Text Summarization of Multi-Aspect Comments in Social Networks in Persian Language

Hossein Shahverdian, Hassan Saneifar
2017 International Journal of Advanced Computer Science and Applications  
Our approach is based on semantic and lexical similarities and uses a graph-based summarization. We also propose a clustering to deal with multiple aspects (subjects) in a corpus of comments.  ...  In this paper, we propose a novel approach to summarize huge amount of comments in Persian, which is enough close to a human summarization.  ...  In this work, we aim at proposing a novel approach for summarizing a huge volume of online comments in Persian language. Our approach is mainly based on a clustering and graph scoring techniques.  ... 
doi:10.14569/ijacsa.2017.081248 fatcat:nqvwg64qvncn5mqr5brlv2xooe

Summaration Generating Timeline for Evolutionary Tweet Streams and Categorizing Tweets

Pediredla Pratyusha
2019 International Journal for Research in Applied Science and Engineering Technology  
Now a day's social networking sites are the fastest medium which delivers news to the user as compared to the newspaper and television.  ...  People run-out of time and even then, they find a small time to know what's happening all over the world.  ...  About Lex Rank Lex rank is an unsupervised approach to text summarization based on graph-based centrality scoring of sentences.  ... 
doi:10.22214/ijraset.2019.11010 fatcat:to5kwnndcbgirmxsw7cxggteai

Routing questions for collaborative answering in community question answering

Shuo Chang, Aditya Pal
2013 Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining - ASONAM '13  
Through empirical evidence, we show that more answers and comments are desirable for improving the lasting value of a question-answer thread.  ...  Our experiments over a large real-world dataset shows the effectiveness of our approach over several baseline models.  ...  ACKNOWLEDGMENT We would like to thank Max Harper and other members from GroupLens Research for helpful discussions.  ... 
doi:10.1145/2492517.2492559 dblp:conf/asunam/ChangP13 fatcat:4cyyl76udrbwjoc7f33wk73daa

Topic Categorization based on User behaviour in Random Social Networks Using Firefly Algorithm

Jayapratha S., Pabitha Dr.P.
2018 Bonfring International Journal of Software Engineering and Soft Computing  
So the process is all about to know the transition state of a topic over a certain period of time.  ...  ., In these data from the conversation block is used to place the topic in concern category. These topics categorization is fully based upon FA(Firefly Algorithm) using Matlab.  ...  user of a cluster compared to WFA.  ... 
doi:10.9756/bijsesc.8389 fatcat:64yc4ixltvhuhiqjsrhru4q3iq

Comment-Based Discussion Communities in the Russian LiveJournal and Their Topical Coherence

Olessia Koltsova, Sergey Koltcov, Sergey Nikolenko
2013 Social Science Research Network  
a shared topic or topics.  ...  We study the structure of online discussions in order to uncover latent communities of socially important debate.  ...  We also leave out studies where community detection algorithms are in fact used as mathematical approaches to the purposes of clustering, e.g for retrieving clusters of online consumers and respective  ... 
doi:10.2139/ssrn.2378312 fatcat:vx4xzpbbprdl5oudcbfghbrsie

Crowdsourced time-sync video tagging using semantic association graph

Wenmian Yang, Na Ruan, Wenyuan Gao, Kun Wang, Wensheng Ran, Weijia Jia
2017 2017 IEEE International Conference on Multimedia and Expo (ICME)  
Time-sync comments reveal a new way of extracting the online video tags.  ...  Then it clusters the comments into sub-graphs of different topics and assigns weight to each comment based on SAG. This can clearly differentiate the meaningful comments with the noises.  ...  an unsupervised way by mining time-sync comments. 2) We build Semantic Association Graph (SAG) to cluster the comments into sub-graphs of different topics.  ... 
doi:10.1109/icme.2017.8019364 dblp:conf/icmcs/YangRGWRJ17 fatcat:gvsw7ubivrcopkkgjsimljgfxm

Analyzing Public Sentiments: A Review

Pankaj M.
2015 International Journal on Recent and Innovation Trends in Computing and Communication  
taken but in this we are trying to analyze the public sentiments and trying to find out the possible reasons behind variation about comments based on that we tries to propose a system and tries to improve  ...  For instance a company can analyze sentiments about products while a politician can view comments about them to improve their position in the society. in previous studies only track of sentiments can be  ...  This can be useful for taking decisions in various fields such as a company tries to analyze the feedback about their products, While a politician tries to improve his position according to the comments  ... 
doi:10.17762/ijritcc2321-8169.150211 fatcat:waqawxdqrzayfidekqggkonl64

Review On: Detection of Spam Comments Using NLP Algorithm

Miss Rohini D.Warkar, Mr.I.R. Shaikh
2018 International Journal Of Engineering And Computer Science  
Detecting trending topics is perfect to summarize information getting from social media. To extract what topic is becoming hot on online media is one of the challenges.  ...  For now whatever work has been done is narrated below like spam control using natural language processing for preprocessing and clustering. One account has been created for making it real.  ...  Then by using graph based approach for bursty keywords generates the topic boundary. analyze how the numeric features such as new lines, punctuation marks, links, white spaces, capital letters, vulgar  ... 
doi:10.18535/ijecs/v7i1.03 fatcat:qzb323d3vrbobbayhmi4ujz3s4

SocialVisTUM: An Interactive Visualization Toolkit for Correlated Neural Topic Models on Social Media Opinion Mining [article]

Gerhard Hagerer, Martin Kirchhoff, Hannah Danner, Robert Pesch, Mainak Ghosh, Archishman Roy, Jiaxi Zhao, Georg Groh
2021 arXiv   pre-print
It displays a graph with topics as nodes and their correlations as edges.  ...  Recent research in opinion mining proposed word embedding-based topic modeling methods that provide superior coherence compared to traditional topic modeling.  ...  Acknowledgments We thank inovex GmbH for supporting the research of this paper by providing computational resources, Robert Pesch and Martin Kirchhoff for their important contributions.  ... 
arXiv:2110.10575v1 fatcat:74xzalz2zjeshfqm5jebvtpjsa

Overlapping Communities Generation for Online Support Forums

Fang Wang, Hakan Duman, Duong Nguyen, Simon Thompson
2009 2009 International Conference on Adaptive and Intelligent Systems  
This paper presents a novel approach of overlapping communities generation for online support forums.  ...  To enable this, a kind of keyword association graph is constructed based on the co-occurrences of keywords in user posts.  ...  We are also grateful to the anonymous reviewers for their valuable suggestions and comments.  ... 
doi:10.1109/icais.2009.36 fatcat:e7ogyccrunc4tfafo6vfpsmt2m
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