A literature review on sarcasm detection has been undergone in this research work. To have
a meaningful study about the existing works on sarcasm detection, a total of 65 research …

Purpose Sentiment analysis has observed a nascent interest over the past decade in the
field of social media analytics. With major advances in the volume, rationality and veracity of …

Forked carrots are often used as animal feed or discarded directly, which affects​ the
economic returns of growers and leads to resource waste and environmental pollution. After …

Sarcasm is an implicit form of sentiment widely used on social media which conveys the
opposite meaning of what is actually conveyed. It is usually aimed at mocking or criticizing …

Sarcasm is a big challenge for text related classification such as sentiment analysis and
opinion summarization. The nature of sarcasm is to express opinions in a way that carries …

When academic and business ventures are discussed, electronic documents form the
crucial part of receiving and transferring information. There is no use of online information if …

Sarcasm detection is one of the most challenging parts of Natural Language Processing
(NLP) since it involves understanding the context in which a particular text is delivered. In …

This research aims to develop the detection of sarcastic message in Thai language on social
networks. Moreover, context-based and content-based features are extracted from …

When people talk or write more especially on social media, they tend to sometimes, flip the
polarity of their expressions. Oftentimes, this change of mood affects the accuracy of the …

There is an excessive growth in user generated textual data due to increment in internet and
social media users which includes enormous amount of sarcastic words, emoji, sentences …