| |
|
| | --- |
| | 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 |
| | |
