Phân tích tư tưởng của nhân dân qua đoạn thơ: Những người vợ nhớ chồng… Những cuộc đời đã hóa sông núi ta trong Đất nước của Nguyễn Khoa Điềm
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Koppel and Shtrimberg (2006) argue that models based on lexical features can distinguish good news from bad news with accuracy of about 70%. They introduce a simple method for generating labeled examples for sentiment analysis: news stories about publicly traded companies are labeled positive or negative according to price changes of the company stock. The show that there are many lexical markers for bad news but none for good news. The novel idea is the automatic unsupervised clusterization of large amount of news. The use of price movements correlated with the appearance of news items is a promising method for...
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