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Trending Topics Detection Using Social Data

Dynamics of trending topics : smart service systems using trending topics

Dynamics of trending topics : smart service systems using trending topics

... are social beings and are thus intensely interested in what others are doing, there are those who want to see what information people are looking ...new trending service regarding the topics that ...

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Analysis of Twitter Trending Topics via LinkAnomaly Detection

Analysis of Twitter Trending Topics via LinkAnomaly Detection

... Abstract:Most of us be aware ofrising themes signaled by way of social disorderswith these sites. In exact, we pay attention tothe mentions of users-links in between end userswhich can be generated dynamically ...

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Data-driven fault detection using trending analysis

Data-driven fault detection using trending analysis

... simulated using the closed-loop nonlinear model for a simulation time of 60 seconds with an integration step of ...sensor data available from the above model are the control inputs and the state ...new ...

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Data Analytics to Examine Trending Topics  for Indonesian Election 2019

Data Analytics to Examine Trending Topics for Indonesian Election 2019

... 3. Data Spatial for each City in Indonesia (Source: Authors’ compilations, 2018) Data analytic is designed to extract value from a wide variety of data gathered from customers in social ...

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Mathematical Modeling of Trending Topics on Twitter

Mathematical Modeling of Trending Topics on Twitter

... online social networking service in which users share and read 140-character messages called ...obtained using Bayesian Markov Chain Monte Carlo (MCMC) ...“trendingtopics on Twitter over ...

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Information Quality in Social Networks: A Collaborative Method for Detecting Spam Tweets in Trending Topics

Information Quality in Social Networks: A Collaborative Method for Detecting Spam Tweets in Trending Topics

... of social spam, the false positive problem is less important because of the availability of large-scale data collections, meaning that classifying “non-spam” tweet as “spam” is not a seri- ous problem to ...

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Tracing Trending Topics by Analyzing the Sentiment Status of Tweets

Tracing Trending Topics by Analyzing the Sentiment Status of Tweets

... by using the LIWC method to verify whether Twitter data can be used to track the occurrence of breaking events and determine whether users are satisfied by such ...about trending topics during ...

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Most Trending Topics with Pre-learned Knowledge in Twitter

Most Trending Topics with Pre-learned Knowledge in Twitter

... meaningful topics. It assumes that words are drawn based on not only topics but also ...evolving data in social media makes it difficult to obtain proper prior ...of topics by ...

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Sensing Trending Topics in Twitter for Greater Jakarta Area

Sensing Trending Topics in Twitter for Greater Jakarta Area

... textual data called ...Topic detection is an important automatic tool to understand the tweets, for example, using non-negative matrix ...detected topics in term of their interpretability ...

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Beyond Trending Topics: Real-World Event Identification on Twitter

Beyond Trending Topics: Real-World Event Identification on Twitter

... event detection in textual news documents has been studied in depth, the identification of events in social media sites is still in its ...stream data from social data blogs and email, ...

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Incident detection using data from social media

Incident detection using data from social media

... incident detection, different methodologies have been developed with the purpose of using Twitter as a sensor [7, ...detected using a SVM classifier, a clustering algorithm was used to trace the ...

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Summarization of Social Media Data Using Topic Detection

Summarization of Social Media Data Using Topic Detection

... KEYWORDS: Data mining, Summarization, Social media, Topic ...MOTIVATION Data mining has many techniques to find and analyse data from different sources and summarizing it into useful ...A ...

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Detection of Depression Symptoms using Social Media Data

Detection of Depression Symptoms using Social Media Data

... of social media, we should use these data with better precision and ...that Social Network Analysis (SNA) discerns the topological ...obtain data from HealingWell and Reddit ...posted ...

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Topics in Data Stream Sampling and Insider Threat Detection

Topics in Data Stream Sampling and Insider Threat Detection

... and detection of malicious usage of email, including spam or junk email ...the social network services get popular, the misuse of social networks is an ...

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Trending topic extraction from social media

Trending topic extraction from social media

... ABSTRACT Social media has become the first source of information for many ...on social media daily has become very vast that it became difficult to ...popular social media applications is ...extract ...

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Mining and Detection of Emerging Topics from Social Network Big Data
Divya Kalakuntla & Sowmya Abbu

Mining and Detection of Emerging Topics from Social Network Big Data Divya Kalakuntla & Sowmya Abbu

... of data about individuals – ...and social interactions – are being collected and analyzed by many national statistical agencies, survey organizations, medical centers, and Web and social networking ...

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USING DYNAMIC COMMUNITY DETECTION TO TRACK TOPICS ON TWITTER

USING DYNAMIC COMMUNITY DETECTION TO TRACK TOPICS ON TWITTER

... tweet data: the sample stream and the decahose ...full data, that the streaming API offers to vary day by day, never dropping below 1%, but averaging ...API data vs random samples of the Firehose ...

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Anomaly Detection Using Data Mining Techniques in Social Networking

Anomaly Detection Using Data Mining Techniques in Social Networking

... anomalies, Data mining techniques, Review analysis, Social Networking ...Anomaly detection intimates the design recognition in the given collection of information that doesn’t fit in with a set up ...

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Trending #hijabfashion: Using Big Data to Study Religion at the Online–Urban Interface

Trending #hijabfashion: Using Big Data to Study Religion at the Online–Urban Interface

... Burrows 2007) is overstated, it will often be the case that big data provide something to work with in lieu of, and in anticipation of, a more robust theoretical framework. This article first presents the approach ...

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Modeling and Characterizing Social Media Topics Using the Gamma Distribution

Modeling and Characterizing Social Media Topics Using the Gamma Distribution

... important topics mentioned on social ...modeled using the Gamma ...emerging topics. We demonstrate our algorithm on Twitter data and evaluate empirically using the Reuters News ...

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