BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs

20 April 2017

Papers citing "BB_twtr at SemEval-2017 Task 4: Twitter Sentiment Analysis with CNNs and LSTMs"

10 / 10 papers shown

Title
Retrieving Users' Opinions on Social Media with Multimodal Aspect-Based Sentiment Analysis Miriam Anschütz Tobias Eder Georg Groh 16 3 0 27 Oct 2022
Are the Multilingual Models Better? Improving Czech Sentiment with Transformers Pavel Přibáň J. Steinberger 36 11 0 24 Aug 2021
How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies Soroosh Tayebi Arasteh Mehrpad Monajem Vincent Christlein Philipp Heinrich Anguelos Nicolaou Hamidreza Naderi Boldaji Mahshad Lotfinia S. Evert 19 7 0 21 Apr 2021
Data Boost: Text Data Augmentation Through Reinforcement Learning Guided Conditional Generation Ruibo Liu Guangxuan Xu Chenyan Jia Weicheng Ma Lili Wang Soroush Vosoughi 23 107 0 05 Dec 2020
BERTweet: A pre-trained language model for English Tweets Dat Quoc Nguyen Thanh Tien Vu A. Nguyen VLM 32 901 0 20 May 2020
ImpactCite: An XLNet-based method for Citation Impact Analysis Dominique Mercier Syed Tahseen Raza Rizvi Vikas Rajashekar Andreas Dengel Sheraz Ahmed 8 14 0 05 May 2020
The Ivory Tower Lost: How College Students Respond Differently than the General Public to the COVID-19 Pandemic Viet-An Duong Phu Pham Tongyu Yang Yu Wang Jiebo Luo AI4CE 21 90 0 21 Apr 2020
An Embarrassingly Simple Approach for Transfer Learning from Pretrained Language Models Alexandra Chronopoulou Christos Baziotis Alexandros Potamianos CLL 20 129 0 27 Feb 2019
Amobee at SemEval-2018 Task 1: GRU Neural Network with a CNN Attention Mechanism for Sentiment Classification A. Rozental Daniel Fleischer 6 30 0 12 Apr 2018
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,368 0 25 Aug 2014