Vader
PulseAugur coverage of Vader — every cluster mentioning Vader across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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Humans and LLMs struggle with social media sentiment analysis, study finds
A new study published on arXiv evaluates the performance of sentiment analysis tools and large language models (LLMs) on social media texts. The research found that even human annotators exhibit only fair agreement when…
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New study questions validity of financial NLP tools against human judgment
A new arXiv paper investigates the validity of financial Natural Language Processing (NLP) tools by comparing their ability to extract market signals against human judgment. The study analyzed over 70,500 X messages lin…
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New pipeline uses AI to assess public sentiment for honours candidates
Researchers have developed a modular data-science pipeline to estimate public sentiment towards individuals using open-source intelligence. This method chains various natural language processing techniques, including se…
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New RA-FinBERT model boosts financial sentiment analysis with rule-based features
Researchers have developed RA-FinBERT, a novel framework for financial sentiment analysis that enhances accuracy by integrating rule-derived features with a pre-trained language model. This approach combines sentiment p…
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New frameworks tackle hallucination in multimodal AI models · 3 sources tracked
Researchers have developed new frameworks to combat hallucinations in multimodal large language models (MLLMs). UniHall introduces a fine-grained dataset and a self-adaptive fuzzing framework (SAMF) to stress-test MLLMs…
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LLM Sentiment Analysis Shows Mixed Results for Meme Stock Prediction
A new research paper compares Large Language Model (LLM)-based sentiment analysis with traditional lexicon-based methods for predicting extreme returns in meme stocks. The study utilized Reddit data from r/WallStreetBet…
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TriAgent cuts LLM costs for financial sentiment analysis
Researchers have developed TriAgent, a novel multi-agent system designed to reduce the cost of financial sentiment analysis using large language models. The system stratifies agents by contextual granularity, employing …
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New AI method measures psychological states using semantic projection
Researchers have developed a novel, unsupervised framework for assessing psychological states using semantic projection from natural language. This method operationalizes psychological constructs as semantic axes, deriv…
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Data hackathon winners leverage pre-trained models and APIs for efficiency
Eugene Yan, a mentor and judge at Hacklytics 2021, observed that winning teams in the datathon prioritized using readily available datasets and APIs over time-consuming data scraping. Many successful teams leveraged pre…