The LLM-based topic recognition model is complete and adapted to quickly updating Weibo topics.

LLMTopicDetection_TopicGPT/docs/README.rst

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+==============
+TopicGPT
+==============
+
+TopicGPT integrates the remarkable capabilities of current LLMs such as GPT-3.5 and GPT-4 into topic modeling.
+
+While traditional topic models extract topics as simple lists of top-words, such as ["Lion", "Leopard", "Rhino", "Elephant", "Buffalo"], TopicGPT offers rich and dynamic topic representations that can be intuitively understood, extensively investigated and modified in various ways via simple text commands.
+
+More specifically, it provides the following core functionalities:
+
+- Identification of clusters within document-embeddings and top-word extraction
+- Generation of informative topic descriptions
+- 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
+
+It is further possible to directly interact with TopicGPT via prompting and without explicitly calling functions - an LLM autonomously decides which functionality to use.
+
+Installation Guide
+------------------
+
+To install TopicGPT, simply use PyPI:
+
+.. code-block:: bash
+
+    pip install topicgpt
+
+GitHub Repository
+-----------------
+
+For more details, usage examples, source code, and testing procedures, please visit the TopicGPT GitHub repository: https://github.com/LMU-Seminar-LLMs/TopicGPT
+