Titlebook: Social Media Analysis for Event Detection; Book 2022

PAN

不能約

Omer Zulfiqar,Yi-Chun Chang,Po-Han Chen,Kaiqun Fu,Chang-Tien Lu,David Solnick,Yanlin Lint and Business areas of application such as decision support, segmentation of markets, CRM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores,

Hallowed

Indurate

Francesco Scotti,Davide Magnanimi,Valeria Maria Urbano,Francesco Pierrint and Business areas of application such as decision support, segmentation of markets, CRM, product design, service personalization, organizational design, e-commerce, credit scoring, workplace integration, innovation management, business database analysis, workflow management, location of stores,

牛馬之尿

空氣傳播

Covid-19 and Vaccine Tweet Analysis,ts that are taken from two different time manners were analyzed. Python was used to perform experiments on a variety of tweets. After collecting and preprocessing the data, various visualization techniques were used to show the results for most occurred words and sentiment analysis for positivity and negativity of tweets.

不公開

A Network-Based Approach to Understanding International Cooperation in Environmental Protection,ting our society’s environmental sustainability. International environmental protocols or treaties can be seen as communities that work together to achieve common environmental goals. To analyze the dynamic landscape of international cooperation in environmental protection in the last decades, we co

conscribe

Critical Mass and Data Integrity Diagnostics of a Twitter Social Contagion Monitor,ional outbursts that spread from person to person in a viral manner. In this effort, which is an extended rendition of [.], we additionally describe added movement tracers (. and URLs) to a productionalized version of the Contagion Monitor.. These allow for different tracers to capture movements and

Aphorism

TenFor: Tool to Mine Interesting Events from Security Forums Leveraging Tensor Decomposition,s without any a priori knowledge. This is a key difference compared to most of the previous problem formulations. While most of the previous efforts are usually searching for specific information, mining security forums to extract useful information has received relatively little attention despite o

Munificent

Profile Fusion in Social Networks: A Data-Driven Approach,g discrete user attributes, text mining, network analysis, and more recently machine learning. However, there is a lack of publicly available labeled datasets for this task. Our contribution is twofold. Firstly, we create an open-source framework that collects profiles from various social networks a