印度英语新闻报道中的观点检测

2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS) Pub Date : 2023-02-01 DOI:10.1109/AICAPS57044.2023.10074121

Ananya, Rishabh Kaushal

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引用次数: 0

摘要

新闻简报在人们的日常生活中扮演着重要的角色。随着人类的进化，我们形成观点的能力也在进化。在新闻和新闻报道领域，报道新闻的人最好不要加入他们的个人观点。然而，我们经常在新闻报道中观察到偏见，因此评估新闻记者的意见的任务已经成为一个重要的问题。在这项工作中，我们研究了经典机器学习和矢量化技术在印度新闻频道播出的与政治和宗教问题相关的印英代码混合新闻辩论中的意见检测性能。采用Logistic回归算法结合词袋矢量化技术，达到了87%的最佳准确率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Opinion Detection in Hinglish News Reporting

News bulletins play an important role in people’s daily lives. As humans evolved, so did our ability to form opinions. In the domain of journalism and news reporting, it is desirable that those reporting news do not add their personal opinions. However, we often observe biases in news reporting, and therefore the task of assessing the opinion of news reporters has become a significant issue. In this work, we study the performance of classical machine learning and vectorization techniques on opinion detection in Hinglish code-mixed news debates related to political and religious issues aired on Indian news channels. We were able to achieve the best accuracy of 87% using Logistic Regression algorithm with Bag of Words (BoW) vectorization technique.

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2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS)

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