``When Numbers Matter!'': Detecting Sarcasm in Numerical Portions of Text

no code implementations • WS 2019 • Abhijeet Dubey, Lakshya Kumar, Arpan Somani, Aditya Joshi, Pushpak Bhattacharyya

Initially, to get an insight into the problem, we implement a rule-based and a statistical machine learning-based (ML) classifier.

Sarcasm Detection Sentence

"Having 2 hours to write a paper is fun!": Detecting Sarcasm in Numerical Portions of Text

no code implementations • 6 Sep 2017 • Lakshya Kumar, Arpan Somani, Pushpak Bhattacharyya

We analyze the challenges of the problem, and present Rule-based, Machine Learning and Deep Learning approaches to detect sarcasm in numerical portions of text.

BIG-bench Machine Learning Sarcasm Detection +1

Sentiment Intensity Ranking among Adjectives Using Sentiment Bearing Word Embeddings

no code implementations • EMNLP 2017 • Raksha Sharma, Arpan Somani, Lakshya Kumar, Pushpak Bhattacharyya

Identification of intensity ordering among polar (positive or negative) words which have the same semantics can lead to a fine-grained sentiment analysis.

Sentiment Analysis Word Embeddings