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We propose an approach to measuring the state of the economy via textual analysis of business news. From the full text content of 800,000 Wall Street Journal articles for 1984{2017, we estimate a topic model that summarizes business news as easily interpretable topical themes and quantifies the...
Persistent link: https://www.econbiz.de/10012479172
We propose an approach to measuring the state of the economy via textual analysis of business news. From the full text content of 800,000 Wall Street Journal articles for 1984–2017, we estimate a topic model that summarizes business news as easily interpretable topical themes and quantifies...
Persistent link: https://www.econbiz.de/10012847945
Persistent link: https://www.econbiz.de/10012110918
We introduce a new text-mining methodology that extracts sentiment information from news articles to predict asset … returns. Unlike more common sentiment scores used for stock return prediction (e.g., those sold by commercial vendors or built … with dictionary-based methods), our supervised learning framework constructs a sentiment score that is specifically adapted …
Persistent link: https://www.econbiz.de/10012480131
We introduce a new text-mining methodology that extracts sentiment information from news articles to predict asset … returns. Unlike more common sentiment scores used for stock return prediction (e.g., those sold by commercial vendors or built … with dictionary-based methods), our supervised learning framework constructs a sentiment score that is specifically adapted …
Persistent link: https://www.econbiz.de/10012863706
. Unlike more common sentiment scores used for stock return prediction (e.g., those sold by commercial vendors or built with …
Persistent link: https://www.econbiz.de/10012849182
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