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As one of the largest Social Media in providing public data every day, Twitter has attracted the attention of researcher to investigate, in order to mine public opinion, which is known as Sentiment Analysis. Consequently, many techniques and studies related to Sentiment Analysis over Twitter have been proposed in recent years. However, there is no study that discuss about sentence pattern of positive/negative...
In this paper, we address the problem of automatic speech summarization on open-domain TED talks. The large vocabulary and diversity of topics from speaker-to-speaker presents significant difficulties. The challenges increase not only how to handle disfluencies and fillers, but also how to extract topic-related meaningful messages within the free talks. Here, we propose to incorporate semantic and...
The imbalanced dataset often becomes obstacle in supervised learning process. Imbalance is case in which the example in training data belonging to one class is heavily outnumber the examples in the other class. Applying classifier to this dataset results in the failure of classifier to learn the minority class. Synthetic Minority Oversampling Technique (SMOTE) is a well known over-sampling method...
In this paper we present the construction and analysis of memorable spoken quote corpora from TED public speaking. Memorable quotes are interesting and useful words which usually contain generic pearls of wisdom that could achieve public awareness and retained in people consciousness. Our study aims to reveal why can some public speeches can be retained in people mind and make their consciousness...
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