Recent advances in deep learning based dialogue systems: A systematic survey
Dialogue systems are a popular natural language processing (NLP) task as it is promising in
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
real-life applications. It is also a complicated task since many NLP tasks deserving study are …
State of the art: a review of sentiment analysis based on sequential transfer learning
Recently, sequential transfer learning emerged as a modern technique for applying the
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …
The biases of pre-trained language models: An empirical study on prompt-based sentiment analysis and emotion detection
Thanks to the breakthrough of large-scale pre-trained language model (PLM) technology,
prompt-based classification tasks, eg, sentiment analysis and emotion detection, have …
prompt-based classification tasks, eg, sentiment analysis and emotion detection, have …
Survey on sentiment analysis: evolution of research methods and topics
Sentiment analysis, one of the research hotspots in the natural language processing field,
has attracted the attention of researchers, and research papers on the field are increasingly …
has attracted the attention of researchers, and research papers on the field are increasingly …
Twitter sentiment analysis towards covid-19 vaccines in the Philippines using naïve bayes
A year into the COVID-19 pandemic and one of the longest recorded lockdowns in the world,
the Philippines received its first delivery of COVID-19 vaccines on 1 March 2021 through …
the Philippines received its first delivery of COVID-19 vaccines on 1 March 2021 through …
A survey on XAI and natural language explanations
The field of explainable artificial intelligence (XAI) is gaining increasing importance in recent
years. As a consequence, several surveys have been published to explore the current state …
years. As a consequence, several surveys have been published to explore the current state …
Sentiment analysis: A survey on design framework, applications and future scopes
M Bordoloi, SK Biswas - Artificial intelligence review, 2023 - Springer
Sentiment analysis is a solution that enables the extraction of a summarized opinion or
minute sentimental details regarding any topic or context from a voluminous source of data …
minute sentimental details regarding any topic or context from a voluminous source of data …
An enhanced guided LDA model augmented with BERT based semantic strength for aspect term extraction in sentiment analysis
M Venugopalan, D Gupta - Knowledge-based systems, 2022 - Elsevier
Aspect level sentiment analysis is a fine-grained task in sentiment analysis. It extracts
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
aspects and their corresponding sentiment polarity from opinionated text. The first subtask of …
Dynamic interactive multiview memory network for emotion recognition in conversation
When available, multimodal data is key for enhanced emotion recognition in conversation.
Text, audio, and video in dialogues can facilitate and complement each other in analyzing …
Text, audio, and video in dialogues can facilitate and complement each other in analyzing …
Topic-driven and knowledge-aware transformer for dialogue emotion detection
Emotion detection in dialogues is challenging as it often requires the identification of
thematic topics underlying a conversation, the relevant commonsense knowledge, and the …
thematic topics underlying a conversation, the relevant commonsense knowledge, and the …