def sentiment_analysis(transcription): response = client.chat.completions.create( model="gpt-4", temperature=0, messages=[ { "role": "system", "content": "As an AI with expertise in language and emotion analysis, your task is to analyze the sentiment of the following text. Please consider...
Large Language Model (LLM)-based sentiment analysis was conducted on the posts and comments submitted to Teachers Subreddit, an online community for educators. The analysis revealed that the members of Teachers Subreddit expressed more negative sentiments towards the use of ChatGPT in education ...
The sentiment analysis provided scores indicating the degree of positivity in the descriptions of these countries provided by ChatGPT. The results revealed that ChatGPT generally expressed positive sentiments about all countries. However, strong evidence emerged showing that countries with high HDI ...
This study analyzes how ChatGPT characterizes developed and developing countries using a sentiment analysis framework. We selected 10 countries with the highest Human Development Index (HDI) and 10 countries with the lowest. The sentiment analysis provided scores indicating the degree of positivity in ...
根据指定要求,让 ChatGPT 生成提示词。 我想让你充当一个提示生成器。首先,我将给你一个这样的标题。'充当英语发音的帮手'。然后你给我一个这样的提示。'我希望你充当讲土耳其语的人的英语发音助手。我给你写句子,你只回答他们的发音,其他什么都不说。答复不能是我的句子的翻译,而只能是发音。发音应该使用土耳...
T1 ChatGPT's Cost and Access SENTIMENT-ANALYSIS Comparison of VADER and roBERTa When comparing VADER and roBERTa, it was found that VADER struggled to identify many positive or negative words in tweerts, often resulting in a polarity score of 0. roBERTa was better at capturing the deeper meani...
Code Snippet Generation:Provides reliable code examples, though it may lack the deep contextual understanding ChatGPT offers. Professional Use Case Focus:It is especially useful for academic research, technical writing, and professional analysis.
ChatGPT, compared to FinBERT, a well-established sentiment analysis model for financial texts, exhibited approximately 35% enhanced performance in sentiment classification and a 36% higher correlation with market returns. By underlining the significance of prompt engineering, particularly in zero-shot ...
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AUniversity of Florida studyfrom 2023 highlighted the potential for advanced language models such as ChatGPT to accurately predict movements in the stock market using sentiment analysis. During the course of the study, ChatGPT outperformed traditional sentiment analysis methods, and the finance professors...