Instructions to use bajajss/CourseEvalTopicModeling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use bajajss/CourseEvalTopicModeling with BERTopic:
from bertopic import BERTopic model = BERTopic.load("bajajss/CourseEvalTopicModeling") - Notebooks
- Google Colab
- Kaggle
| tags: | |
| - bertopic | |
| library_name: bertopic | |
| pipeline_tag: text-classification | |
| # CourseEvalTopicModeling | |
| This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model. | |
| BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets. | |
| ## Usage | |
| To use this model, please install BERTopic: | |
| ``` | |
| pip install -U bertopic | |
| ``` | |
| You can use the model as follows: | |
| ```python | |
| from bertopic import BERTopic | |
| topic_model = BERTopic.load("bajajss/CourseEvalTopicModeling") | |
| topic_model.get_topic_info() | |
| ``` | |
| ## Topic overview | |
| * Number of topics: 28 | |
| * Number of training documents: 204 | |
| <details> | |
| <summary>Click here for an overview of all topics.</summary> | |
| | Topic ID | Topic Keywords | Topic Frequency | Label | | |
| |----------|----------------|-----------------|-------| | |
| | -1 | 32 - structure - course - 33 - 73 | 2 | Course Structure and Delivery | | |
| | 0 | 70 - 57 - 71 - 10 - 25 | 37 | Teaching and Learning Evaluations | | |
| | 1 | connects - enhance - hands - real - smaller | 28 | Project Implementation and Guidance | | |
| | 2 | 45 - 74 - 65 - thoroughly - sure | 13 | Homework Evaluation | | |
| | 3 | materials - 102 - studying - slides - sections | 11 | Course Materials and Study Strategies | | |
| | 4 | challenging - complex - induc - stressful - stress | 9 | Challenging Homework Experience | | |
| | 5 | wong - ma - professor - 59 - uses | 9 | Talented Instructor | | |
| | 6 | intelle - challen - 100 - contributed - 54 | 8 | Intellectual Challenges and Contributions | | |
| | 7 | 47 - video - doing - demonstrations - overviews | 7 | Learning Activities and Resources | | |
| | 8 | difference - 79 - betwe - concept - huge | 6 | Comparing Systems | | |
| | 9 | open - 62 - contribut - digestible - ben | 6 | Open Lab and Social Interaction | | |
| | 10 | 16 - aspects - intellectu - inspired - aspect | 5 | Student Feedback and Opinion | | |
| | 11 | 78 - 77 - becau - similarly - letting | 5 | Lab Experience and Evaluation | | |
| | 12 | slide - stem - pre - presented - great | 5 | Interactive Learning Media | | |
| | 13 | programming - burni - creative - despise - cla | 5 | Criticisms of C Programming | | |
| | 14 | cove - diff - inspiring - stimulating - 49 | 5 | Inspiring Learning Experience | | |
| | 15 | workload - decreased - heavy - sli - 56 | 4 | Workload and Workload Management | | |
| | 16 | 63 - best - super - taking - honestly | 4 | Positive Student Feedback | | |
| | 17 | worst - perfect - entire - demanding - overall | 4 | Course Opinions | | |
| | 18 | 60 - 19 - personally - pushed - goo | 4 | Student Perceptions of Self-Learning | | |
| | 19 | syllabus - remove - issue - suffered - challenges | 4 | Class Evaluation | | |
| | 20 | hav - bridge - person - helpful - 38 | 4 | Lecture Evaluation and Feedback | | |
| | 21 | intellectua - creativel - 24 - 92 - 85 | 4 | Intellectual and Creative Projects | | |
| | 22 | usually - used - present - professors - marital | 3 | Lecture and Discussion Techniques | | |
| | 23 | designed - zoom - questio - sample - increase | 3 | Virtual Learning Environments | | |
| | 24 | tons - teach - practice - opportunities - plenty | 3 | Learning Through Practice | | |
| | 25 | painful - 91 - 74 - challenging - interesting | 3 | Project Experience | | |
| | 26 | th - cs - exam - suggest - code | 3 | CS Exam Preparation and Topics | | |
| </details> | |
| ## Training hyperparameters | |
| * calculate_probabilities: False | |
| * language: None | |
| * low_memory: False | |
| * min_topic_size: 10 | |
| * n_gram_range: (1, 1) | |
| * nr_topics: None | |
| * seed_topic_list: None | |
| * top_n_words: 10 | |
| * verbose: True | |
| * zeroshot_min_similarity: 0.7 | |
| * zeroshot_topic_list: None | |
| ## Framework versions | |
| * Numpy: 1.25.2 | |
| * HDBSCAN: 0.8.33 | |
| * UMAP: 0.5.5 | |
| * Pandas: 1.5.3 | |
| * Scikit-Learn: 1.2.2 | |
| * Sentence-transformers: 2.4.0 | |
| * Transformers: 4.38.1 | |
| * Numba: 0.58.1 | |
| * Plotly: 5.15.0 | |
| * Python: 3.10.12 | |