A Survey Paper on the Latest Techniques for Sarcasm Detection Using BG Method

Ameya Parkar, Rajni Bhalla
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Abstract

Sentiment Analysis is gathering a lot of attention nowadays as a lot of online data is gathered through blogs, ecommerce websites, product reviews, etc. which people are expressing online. This data is extracted by companies to judge if their products are having a positive outlook or a negative outlook. Sarcasm is a problem faced in sentiment analysis as it flips the polarity of the sentence. This paper provides a survey on different techniques used by researchers to detect sarcasm. At the end, we propose a methodology to detect sarcasm. The proposed framework will give suggestions to different researchers in the detection of sarcasm.
基于BG方法的反讽检测最新技术综述
如今,随着人们通过博客、电子商务网站、产品评论等方式收集大量在线数据,情感分析正受到越来越多的关注。这些数据由公司提取,以判断他们的产品前景是积极的还是消极的。讽刺是情感分析中面临的一个问题,因为它改变了句子的极性。本文对研究人员用来检测讽刺的不同技术进行了综述。最后,我们提出了一种检测讽刺的方法。提出的框架将为不同的研究者在讽刺的检测方面提供建议。
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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