This paper presents a comparative analysis of noise reduction methods in sentiment analysis on noisy Bengali texts. It introduces a manually annotated dataset (NC-SentNoB) to identify ten different types of…
Continue readingThis paper explores the area of sentiment analysis on noisy Bengali texts, a language with limited resources in this realm. A dataset (NC-SentNoB) was manually annotated to identify ten different…
Continue readingThe paper presents a study testing the portability of task-specific knowledge encoded in modules trained by parameter-efficient finetuning (PEFT) techniques. Using sentiment analysis as an example, the authors conduct 1,440…
Continue readingThe research focuses on predicting interpersonal affect in human-robot interactions. The study involved 30 participant dyads who rated their perception of the other interactant after a short interaction using the…
Continue readingThis paper investigates the potential of GPT-4V in analyzing social media content. The study involves five tasks: sentiment analysis, hate speech detection, fake news identification, demographic inference, and political ideology…
Continue readingThis study investigates the representation of sentiment in Large Language Models (LLMs). It reveals that sentiment is represented linearly in a single direction within these models, playing a vital role…
Continue readingThis research dives deep into large-scale phishing campaigns aimed at Meta’s users. It offers a dual perspective on the technical mechanics and human elements involved. The study analyses data from…
Continue readingThe paper presents a state-of-the-art solution for the LongEval CLEF 2023 Lab Task 2. The goal is to enhance the performance of sentiment analysis models over time by adding temporal…
Continue readingThe paper presents a new approach to Arabic Sentiment Analysis (ASA) using Bi-Directional Long Short-Term Memory (BiLSTM) and Convolutional Neural Networks (CNN)-BiLSTM models. The proposed framework introduces a noise layer…
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