A review of text style transfer using deep learning
Style is an integral component of a sentence indicated by the choice of words a person
makes. Different people have different ways of expressing themselves; however, they adjust …
makes. Different people have different ways of expressing themselves; however, they adjust …
Computational politeness in natural language processing: A survey
Computational approach to politeness is the task of automatically predicting and/or
generating politeness in text. This is a pivotal task for conversational analysis, given the …
generating politeness in text. This is a pivotal task for conversational analysis, given the …
A just and comprehensive strategy for using NLP to address online abuse
D Jurgens, E Chandrasekharan, L Hemphill - ar** technologies to detect abuse. However, current methods have …
Document-level multi-topic sentiment classification of email data with bilstm and data augmentation
Email data has unique characteristics, involving multiple topics, lengthy replies, formal
language, high variance in length, high duplication, anomalies, and indirect relationships …
language, high variance in length, high duplication, anomalies, and indirect relationships …
Sequence encoding incorporated CNN model for Email document sentiment classification
Document sentiment classification is an area of study that has been developed for decades.
However, sentiment classification of Email data is rather a specialized field that has not yet …
However, sentiment classification of Email data is rather a specialized field that has not yet …
Style is NOT a single variable: Case studies for cross-stylistic language understanding
Every natural text is written in some style. Style is formed by a complex combination of
different stylistic factors, including formality markers, emotions, metaphors, etc. One cannot …
different stylistic factors, including formality markers, emotions, metaphors, etc. One cannot …
Say 'YES'to positivity: Detecting toxic language in workplace communications
Workplace communication (eg email, chat, etc.) is a central part of enterprise productivity.
Healthy conversations are crucial for creating an inclusive environment and maintaining …
Healthy conversations are crucial for creating an inclusive environment and maintaining …
EmotionX-AR: CNN-DCNN autoencoder based emotion classifier
S Khosla - Proceedings of the sixth international workshop on …, 2018 - aclanthology.org
In this paper, we model emotions in EmotionLines dataset using a convolutional-
deconvolutional autoencoder (CNN-DCNN) framework. We show that adding a joint …
deconvolutional autoencoder (CNN-DCNN) framework. We show that adding a joint …
Facilitating the communication of politeness through fine-grained paraphrasing
L Fu, SR Fussell… - arxiv preprint arxiv …, 2020 - arxiv.org
Aided by technology, people are increasingly able to communicate across geographical,
cultural, and language barriers. This ability also results in new challenges, as interlocutors …
cultural, and language barriers. This ability also results in new challenges, as interlocutors …
[PDF][PDF] A Comparison of Machine Learning Models to Prioritise Emails using Emotion Analysis for Customer Service Excellence.
MY Chuttur, Y Parianen - Knowl. Eng. Data Sci., 2022 - core.ac.uk
The problems caused by email overload in organizational settings have been well
documented in [1][2][3]. On average, a mid-size organization may receive thousands of …
documented in [1][2][3]. On average, a mid-size organization may receive thousands of …