Category: ADOReD

The full-text search functionality allows selecting social media posts (for the time being only for the Twitter collection) based on some post attributes: text: textual content of the post hashtags: hashtags associated with the post author: ID (not the handle!) of the post author; the author ID for Twitter can be extracted from the handle using https://tweeterid.com/ date: day of social media initial posting (a range of dates can be added using the ‘OR’ logical operator) language: the language the […]

Two outputs of the ADO Topic Modelling pipeline (which is run daily, on a days worth of social media data) are the frequency of terms, as well as the development of word embeddings for the day. The ADO-API grants the ability to analyze the term frequency data, as well as interact with the word embedding models. The ADOReD Term analysis tab interacts with the API to visualize the outputs, and examine the semantic relationships between words in a certain time […]

The ADOReD topic graph tab provides users with an interactive way to examine the outputs of the ADO Topic Modelling pipeline. The pipeline is run every day, on a days worth of social media data, using BERTopic, to generate a list of topic clusters. These clusters simulate the trending topics of the given day, and each cluster is associated with 30 representative terms – from which the topic of the cluster can be extrapolated. Topic graph construction In order to track […]

The aggregation tab in ADOReD provides ability to aggregate over the social media collections in four different ways, which called different endpoints at the ADO-API. Location Time (by day) Seasonality Language Each aggregation is controlled by a start and an end date, to specify the period over which the aggregation is desired. Upon loading the aggregation tab, one can select the start and end date by using the widget in the top left corner. Once these value are selected, all […]

The Australian Digital Observatory Research Dashboard (ADOReD) is an interactive web based application designed to provide user friendly access to the ADO-API, to perform social media analysis. The dashboard allows users to interact with data present in the ADO databases, along with some of the topic modelling results and word embeddings that are generated by the ‘live’ machine learning pipelines. The dashboard works best a stable internet connection, and on a laptop or desktop computer, as it can be network […]