Suggestion mining

6 papers with code • 0 benchmarks • 0 datasets

Suggestion mining can be defined as the extraction of suggestions from unstructured text,

Most implemented papers

DBMS-KU at SemEval-2019 Task 9: Exploring Machine Learning Approaches in Classifying Text as Suggestion or Non-Suggestion

TiraNosa/Text-Classification-using-VLCGA-NB SEMEVAL 2019

This paper describes the participation of DBMS-KU team in the SemEval 2019 Task 9, that is, suggestion mining from online reviews and forums.

NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining

SamuelPecar/NL-FIIT-SemEval19-Task9 SEMEVAL 2019

We participated in both subtasks for domain specific and also cross-domain suggestion mining.

Suggestion Mining from Online Reviews using ULMFiT

isarth/SemEval9_MIDAS 19 Apr 2019

In this paper we present our approach and the system description for Sub Task A of SemEval 2019 Task 9: Suggestion Mining from Online Reviews and Forums.

YNU-HPCC at SemEval-2020 Task 8: Using a Parallel-Channel Model for Memotion Analysis

YuanLi95/Semveal2020-Task8-emotion-analysis SEMEVAL 2020

In recent years, the growing ubiquity of Internet memes on social media platforms, such as Facebook, Instagram, and Twitter, has become a topic of immense interest.

TLMOTE: A Topic-based Language Modelling Approach for Text Oversampling

Arjun7m/TLMOTE The 35th International Florida Artificial Intelligence Research Society (FLAIRS) Conference 2022

To tackle the problem of bias towards majority classes, researchers have presented various techniques to oversample the minority class data points.