Oct 7, 2020 · In this work, a classification task was done in order to obtain the sentiment behind the polarity of an economic text using machine learning and deep learning ...
Nov 21, 2024 · The basic task of sentiment analysis is to determine the sentiment polarity (positivity, neutrality or negativity) of a piece text. The ...
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Oct 12, 2020 · In this work, a classification task was done in order to obtain the sentiment behind the polarity of an economic text using machine learning and ...
A classification task was done in order to obtain the sentiment behind the polarity of an economic text using machine learning and deep learning methods and ...
Nov 21, 2024 · We illustrate the use of the EL in the context of a simple sentiment measure and consider several applications in economics. The comparison to ...
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The goal of this paper is to propose a dictionary specifically designed for textual applications in economics. We construct the dictionary with two important ...
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Lexical sentiment analysis In text mining, sentiment analysis refers to a collection of techniques for quantifying sentiment in unstructured text data.
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“Manufacturing Sentiment: Forecasting Industrial Production with Text. Analysis,” Finance and Economics Discussion Series 2024-026. Washington: Board of Gov ...
Jun 25, 2024 · We use natural language processing methods to quantify the sentiment expressed in the Federal Reserve's anecdotal summaries of current ...
Sep 1, 2023 · This study uses Sentiment Analysis as the technique of Natural Language Processing to identify economic texts' sentiment.
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