- Видео 37
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senticnet
Сингапур
Добавлен 3 апр 2021
Sentic Channel is the RUclips channel of SenticNet, a multidisciplinary approach that aims to bridge the gap between statistical NLP and many other disciplines that are necessary for understanding human language, such as linguistics, commonsense reasoning, semiotics, and affective computing. For more info, please visit sentic.net
Evaluating Vision Language Models in Detecting Learning Engagement
With the advancement of both computer vision and natural language processing, there is growing interest in incorporating Vision Language Models (VLMs) into the classroom to empower students and educators. Despite the VLMs’ sophisticated abilities in context-aware emotion recognition, their effectiveness in detecting classroom-specific emotions, e.g., engagement, distraction, and absent-mindedness, remains underexplored. As such, this paper aims to investigate the capabilities of two state-ofthe-art VLMs in this domain through an empirical study, focusing on two research questions: 1) Is learning engagement detection more challenging for VLMs compared to conventional emotion detection? 2) ...
Просмотров: 23
Видео
Sentiment Analysis on Climate Change for Sustainable Investment (Sentic Labcast by Keane Ong)
Просмотров 45Месяц назад
This research involves examining whether sentiment on climate change can be accounted as a systematic risk factor within sustainable finance. Tweets related to climate change from 2014-2022 are collected via the Twitter API. RoBERTa is then deployed to label the collected tweets according to sentiment polarity. Thereafter, DistilBERT is utilised to classify tweets according to their different c...
Multimodal Aspect-Based Sentiment Analysis (Sentic Labcast by Luwei Xiao)
Просмотров 522 месяца назад
Prevailing research concentrates on superficial features or descriptions of images, revealing a significant gap in the systematic exploration of their connotative and aesthetic attributes. Furthermore, the use of cross-modal relation detection modules to eliminate noise from comprehensive image representations leads to the omission of subtle contextual information. We present Vanessa, a visual ...
Understanding Natural Language Understanding
Просмотров 3993 месяца назад
AI pioneers like Marvin Minsky began exploring how the human mind encodes and decodes meaning about 50 years ago. While neuroscience has advanced, we are still far from fully understanding the mind, especially language. Achieving natural language understanding (NLU) is key to building machines that truly comprehend language. Large language models (LLMs) like GPT-4 impress with coherent text gen...
Responsible Recommender Systems (Sentic Labcast by Erik Cambria)
Просмотров 1914 месяца назад
Recommender systems have transformed our digital experiences in many regards. We enumerate their six positive effects on the economy and humans, such as greater user satisfaction, time savings, broadening user horizons, or positive behavioral nudging. However, it is crucial to acknowledge the potential downsides inherent in their design. One significant concern is that these algorithms often pr...
Dynamic Word Sense Disambiguation (Sentic Labcast by Xulang Zhang)
Просмотров 354 месяца назад
This work proposes a neurosymbolic framework that incorporates WSD by identifying and paraphrasing ambiguous words to improve the accuracy of sentiment predictions. The framework allows us to understand which words are paraphrased into which semantically unequivocal words, thus enabling a downstream task model to gain both accuracy and interpretability. To better fine-tune a lexical substitutio...
MetaPro 2.0 (Sentic Labcast by Rui Mao)
Просмотров 414 месяца назад
Metaphor interpretation is a difficult task in natural language understanding. The development of relevant techniques in this domain is slow, mostly because of the lack of large annotated datasets and effective pre-trained language models (PLMs) for metaphor learning. Thus, we propose a large annotated dataset and a PLM for the metaphor interpretation task. Our foundation model is based on a no...
Polarity and Subjectivity Detection with Multitask Learning (Sentic Labcast by Shweta Pardeshi)
Просмотров 554 месяца назад
In recent years, deep learning-based sentiment analysis has received attention mainly because of the rise of social media and e-commerce. In this paper, we showcase the fact that the polarity detection and subjectivity detection subtasks of sentiment analysis are inter-related. To this end, we propose a knowledge-sharing-based multitask learning framework. To ensure high-quality knowledge shari...
PrimeNet (Sentic Labcast by Qian Liu)
Просмотров 485 месяцев назад
Commonsense knowledge acquisition and representation is a core topic in AI, which is crucial for building more sophisticated and human-like AI systems. However, existing commonsense knowledge bases organize facts in an isolated manner like bag of facts, lacking the cognitive-level connections that humans commonly possess. People have the ability to efficiently organize vast amounts of knowledge...
Chain of Thought Interpretability (Sentic Labcast by Weijie Yeo)
Просмотров 725 месяцев назад
Prompt Engineering has garnered significant attention for enhancing the performance of large language models across a multitude of tasks. Techniques such as the Chain-of-Thought not only bolster task performance but also delineate a clear trajectory of reasoning steps, offering a tangible form of explanation for the audience. Prior works on interpretability assess the reasoning chains yielded b...
MOOSE (Sentic Labcast by Zonglin Yang)
Просмотров 385 месяцев назад
Hypothetical induction is recognized as the main reasoning type when scientists make observations about the world and try to propose hypotheses to explain those observations. Past research on hypothetical induction is under a constrained setting: (1) the observation annotations in the dataset are carefully manually handpicked sentences (resulting in a close-domain setting); and (2) the ground t...
SenticVec (Sentic Labcast by Xulang Zhang)
Просмотров 435 месяцев назад
Recent developments in natural language processing were enabled by deep neural networks, which excel in various tasks through strong data fitting and latent feature modeling abilities. However, certain challenges linked to deep nets and supervised deep learning deserve considerations, e.g., extensive computing resources, knowledge forgetting, etc. Previous research attempted to tackle these cha...
Personalized Sentiment Analysis (Sentic Labcast by Rui Mao)
Просмотров 695 месяцев назад
Sentiment analysis is crucial in extracting valuable insights from vast amounts of textual data generated across various platforms, such as social media, customer reviews, news articles, etc. Over the years, researchers and business professionals have worked hard to refine sentiment analysis algorithms, but there is a limit to how accurate any algorithm can be without considering personalizatio...
GPTEval: Assessments of ChatGPT and GPT-4 (Sentic Labcast by Rui Mao)
Просмотров 597 месяцев назад
The emergence of ChatGPT has generated much speculation in the press about its potential to disrupt social and economic systems. Its astonishing language ability has aroused strong curiosity among scholars about its performance in different domains. There have been many studies evaluating the ability of ChatGPT and GPT-4 in different tasks and disciplines. However, a comprehensive review summar...
Investigating Perceptions of Globalization (Sentic Labcast by Anagha Ani)
Просмотров 347 месяцев назад
This project seeks to identify trends in perceptions on the topic of globalization by performing sentiment analysis on text data collected from social media posts. A novel methodology of extracting culture-informed sentiments is proposed and tested on a corpus containing text posts from Reddit in French and English. To do so, a graph convolutional network is used to train a polarity classificat...
MetaPro Online (Sentic Labcast by Rui Mao)
Просмотров 447 месяцев назад
MetaPro Online (Sentic Labcast by Rui Mao)
7 Pillars for the Future of AI (Sentic Labcast by Erik Cambria)
Просмотров 5278 месяцев назад
7 Pillars for the Future of AI (Sentic Labcast by Erik Cambria)
Granular Syntax Processing with Multi-task and Curriculum Learning (Sentic Labcast by Xulang Zhang)
Просмотров 408 месяцев назад
Granular Syntax Processing with Multi-task and Curriculum Learning (Sentic Labcast by Xulang Zhang)
Explainable Finance through Aspect-Based Sentiment Analysis (Sentic Labcast by Keane Ong)
Просмотров 1179 месяцев назад
Explainable Finance through Aspect-Based Sentiment Analysis (Sentic Labcast by Keane Ong)
Targeted Aspect-based Financial Sentiment Analysis (Sentic Labcast by Kelvin Du)
Просмотров 609 месяцев назад
Targeted Aspect-based Financial Sentiment Analysis (Sentic Labcast by Kelvin Du)
Persona Attribute Extraction in Dialogues (Sentic Labcast by Luyao Zhu)
Просмотров 559 месяцев назад
Persona Attribute Extraction in Dialogues (Sentic Labcast by Luyao Zhu)
Prompt-Based Sentiment Analysis (Sentic Labcast by Rui Mao)
Просмотров 859 месяцев назад
Prompt-Based Sentiment Analysis (Sentic Labcast by Rui Mao)
End-to-end Case-Based Reasoning Framework (Sentic Labcast by Zonglin Yang)
Просмотров 6822 года назад
End-to-end Case-Based Reasoning Framework (Sentic Labcast by Zonglin Yang)
Hourglass of Emotions (Sentic Labcast by Yosephine Susanto)
Просмотров 8552 года назад
Hourglass of Emotions (Sentic Labcast by Yosephine Susanto)
Meta-based Self-training for Aspect-based Sentiment Analysis (Sentic Labcast by Kai He)
Просмотров 5412 года назад
Meta-based Self-training for Aspect-based Sentiment Analysis (Sentic Labcast by Kai He)
Explainable Depression Detection (Sentic Labcast by Sooji Han)
Просмотров 5742 года назад
Explainable Depression Detection (Sentic Labcast by Sooji Han)
Masked Entity Language Modeling (Sentic Labcast by Ran Zhou)
Просмотров 4642 года назад
Masked Entity Language Modeling (Sentic Labcast by Ran Zhou)
Hardware-Aware Dialogue Systems (Sentic Labcast by Vlad Pandelea)
Просмотров 4222 года назад
Hardware-Aware Dialogue Systems (Sentic Labcast by Vlad Pandelea)
ClimateTweets (Sentic Labcast by Cuc Duong)
Просмотров 4092 года назад
ClimateTweets (Sentic Labcast by Cuc Duong)
Congratulations Erik!!!!!
lost
Just loved the idea of sentiment analysis and so many behaviors associated with it
Amazing 🎉
Nice work 😊
Good work.
💯🙌
Hello, are the sentiments only manually assigned to the superprimitives?
The Earth is cooler with the atmos/GHGs/albedo not warmer. To perform as advertised the GHGs require “extra” energy upwelling from the surface radiating as a black body. ruclips.net/video/0Jijw7-YG-U/видео.html The kinetic heat transfer processes of the contiguous atmos molecules render that scenario impossible. No greenhouse effect, no GHG warming, no man/CO2 driven climate change or Gorebal warming. Will you be shadow banning/censoring/hiding this yourself or Google’s “fact” checkers?