A Machine Learning System for Tracking Sentiment in Irish Economic News
نویسندگان
چکیده
Fig. 1. Workflow of the sentiment analysis system. Here we introduce a system that uses active machine learning techniques to monitor sentiment in economic news from popular Irish media sources. The proposed system (outlined in Figure 1) has two novel aspects. Firstly, it generates an aggregated news feed containing a diverse set of articles relevant to the Irish economy. This allows users to browse articles in their preferred news reader application, and annotate these articles as “positive”, “negative” or “irrelevant” via embedded links. Secondly, the results of this manual annotation process are used to train a supervised learner that labels a much larger set of news articles. The annotation and classification trends can subsequently be tracked online .
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