Public Comment Analysis Model of Network Media Based on Big Data Mining and Implementation Plans

Abstract

With the rapid increase of Internet application, a large volume of public comment data is accrued on the network platform and brings a great opportunity to the public comment analysis using big data technology. Similar to the new network applications such as cloud computing, the Internet of Things (IoT), the mobile Internet, and big data technology attract research interest based on computer and network advancements. However, the research on big data-driven online media public comment is still in the initial stage, and the relevant analysis model and its implementation plans remain to be further clarified. In this context, this study is put forward to clarify the dimensional model of network media public comment information based on big data and its action mechanism, and then express the implementation plans of the network media public comment analysis model based on big data. The model includes information collection technology, text clustering technology, and information preprocessing technology. The research results of this work is helpful to efficiently mine and identify the public comment information from the massive data in the era of big data and is referable for the public comment supervision and guidance in the network media.