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daveripper0020/recipecomments-bertopic
recipecomments-bertopic is a text classification model from daveripper0020. Use it when you need a label for a piece of text. It is set up for bertopic.
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
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From the Hugging Face model README
This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
To use this model, please install BERTopic:
pip install -U bertopic
You can use the model as follows:
from bertopic import BERTopic
topic_model = BERTopic.load("daveripper0020/recipecomments-bertopic")
topic_model.get_topic_info()
| Topic ID | Topic Keywords | Topic Frequency | Label |
|---|---|---|---|
| -1 | 블로그 - 이형 - 많이 - 까지 - 항상 | 12 | -1_블로그_이형_많이_까지 |
| 0 | 잼민 - 춘장 - 인가요 - 뚝딱 - 너무 | 54 | 0_잼민_춘장_인가요_뚝딱 |
| 1 | 뚝딱 - 잼민 - 춘장 - 요리 - 수익 | 151 | 1_뚝딱_잼민_춘장_요리 |
| 2 | 찜닭 - 마늘 - 레시피 - 넣고 - 간장 | 77 | 2_찜닭_마늘_레시피_넣고 |
| 3 | 맛있어요 - 진짜 - 먹었는데 - 간단하고 - 너무 | 76 | 3_맛있어요_진짜_먹었는데_간단하고 |
| 4 | 감사합니다 - 합니다 - 자는 - 저리 - 믿는 | 16 | 4_감사합니다_합니다_자는_저리 |