Twitter和Tom's Hardware社交媒体中的嗡嗡声预测数据集

This dataset contains two different social networks: Twitter, a micro-blogging platform with exponential growthand extremely fast dynamics, and Tom’s Hardware, a worldwide forum network focusing on new technology with more conservative dynamics but distinctive features. Tom’s Hardware (TH) and Twitter (TW) have very distinctive properties: In this study, we focus on 6671 topics, such as: over-cloaking; grafikkarten; disque dur; android; etc. related to the technology domain. Here is a summary per language. DATA FORMAT This dataset is published using the UCI guidelines. Hence examples are stored using a standard comma separated value (CSV) format. You will find an example per line, and one feature per column. Each dataset is provided with an additional instructions file, as suggested by the UCI. CLASSIFICATION TASK In the classification task you will be provided with time-windows showing an upward trend. The objective of this task is to determine whether or not these time-windows are followed by buzz events. In this task: REGRESSION TASK As in the classification task you will be provided only with upward-windows. The value to be predicted will be the value of the time-series used to determine the popularity of a topic (Y, as presented before)