EEPT: Early Discovery of Emerging Entities in Twitter with Semantic Similarity

Some events which happen in the future could be important for companies, governments, and even our personal life. Prediction of these events before their establishment is helpful for efficient decision-making. We call such events emerging entities. They have not taken place yet, and there is no information about them in KB. However, some clues exist in different areas, especially on social media. Thus, retrieving these type of entities are possible. This paper proposes a method of early discovery of emerging entities. We use semantic clustering of short messages. To evaluate the performance of our proposal, we devise and utilize a performance evaluation metric. The results show that our proposed method finds those emerging entities of which Twitter trends are not always capable.