The AI Detector will let you know in seconds if the content you have reads like it is written by a human or if it sounds like it came from an AI system like ChatGPT, GPT-4, Bard, Claude, and Gemini. Then, use the AI Detector "pro version" to produce the most humanlike AI writi...
Extraction of detailed information about topics via Retrieval-Augmented-Generation (RAG) Comparison of topics Splitting and combining of identified topics Addition of new topics based on keywords Deletion of topics When directly interacting with TopicGPT via prompting and without explicitly calling functions...
[DOCUMENTS] The topic is described by the following keywords: [KEYWORDS] Based on the information above, extract a short topic label in the following format: topic: <topic label> """ representation_model = OpenAI(model="gpt-3.5-turbo", prompt=summarization_prompt, nr_docs=3, chat=True) @...
ChatGPT API根据Prompt中提供的关键词和一组文档来生成中间模型表示,BERTopic会为每个主题向ChatGPT API发出请求。 from bertopic.representation import OpenAI summarization_prompt = """ I have a topic that is described by the following keywords: [KEYWORDS] In this topic, the following documents are a ...
Keywords: emerging topic detection; research trend detection; topic discovery; topic modeling; hot topics; trending topics; FB-LDA; Filtered-LDA Citation: Alattar, F.; Shaalan, K. Emerging Research Topic Detection Using Filtered-LDA. AI 2021, 2, 578–599. https://doi.org/10.3390/ ai2040035...
For the detailed opinion extraction, the C-TF-IDF algorithm was employed to extract keywords from each cluster, thus facilitating a fine-grained representation of opinions with both positive and negative sentiments. By integrating sentiment analysis with clustering analysis, the interpretability of ...