Understanding emotions in text using deep learning and big data

A Chatterjee, U Gupta, MK Chinnakotla… - Computers in Human …, 2019 - Elsevier
Abstract Big Data and Deep Learning algorithms combined with enormous computing power
have paved ways for significant technological advancements. Technology is evolving to …

A sentiment-and-semantics-based approach for emotion detection in textual conversations

U Gupta, A Chatterjee, R Srikanth… - arXiv preprint arXiv …, 2017 - arxiv.org
Emotions are physiological states generated in humans in reaction to internal or external
events. They are complex and studied across numerous fields including computer science …

Improved emotion recognition in Spanish social media through incorporation of lexical knowledge

FM Plaza-del-Arco, MT Martín-Valdivia… - Future Generation …, 2020 - Elsevier
Emotions play an important role in human intelligence and behaviour and are a major
vehicle for communication. Therefore, the integration of emotions in computational models …

Depression detection from social media text analysis using natural language processing techniques and hybrid deep learning model

V Tejaswini, K Sathya Babu, B Sahoo - ACM Transactions on Asian and …, 2024 - dl.acm.org
Depression is a kind of emotion that negatively impacts people's daily lives. The number of
people suffering from long-term feelings is increasing every year across the globe …

Content-oriented user modeling for personalized response ranking in chatbots

B Liu, Z Xu, C Sun, B Wang, X Wang… - … on Audio, Speech …, 2017 - ieeexplore.ieee.org
Automatic chatbots (also known as chat-agents) have attracted much attention from both
researching and industrial fields. Generally, the semantic relevance between users' queries …

Report on the sigir 2016 workshop on neural information retrieval (neu-ir)

N Craswell, WB Croft, J Guo, B Mitra, M de Rijke - ACM Sigir forum, 2017 - dl.acm.org
The SIGIR 2016 workshop on Neural Information Retrieval (Neu-IR) took place on 21 July,
2016 in Pisa. The goal of the Neu-IR (pronounced" New IR") workshop was to serve as a …

Сравнение моделей векторного представления текстов в задаче создания чат-бота

ЮА Жеребцова, АВ Чижик - … университета. Серия: Лингвистика и …, 2020 - cyberleninka.ru
На сегодняшний день одним из стремительно развивающихся направлений научных
исследований является создание разговорного интеллекта, способного поддерживать …

Non-goal oriented dialogue agents: state of the art, dataset, and evaluation

A Mehndiratta, K Asawa - Artificial Intelligence Review, 2021 - Springer
Dialogue agent, a derivative of intelligent agent in the field of computational linguistics, is a
computer program that is capable of generating responses and performing conversation in …

Not all dialogues are created equal: Instance weighting for neural conversational models

P Lison, S Bibauw - arXiv preprint arXiv:1704.08966, 2017 - arxiv.org
Neural conversational models require substantial amounts of dialogue data for their
parameter estimation and are therefore usually learned on large corpora such as chat …

[PDF][PDF] Challenges of Building an Intelligent Chatbot.

A Chizhik, Y Zherebtsova - IMS, 2020 - academia.edu
There can be no doubt that the way of human-computer interaction has changed drastically
over the last decade. Dialogue systems (or conversational agents) including voice control …