before_covid_face_to_face_instructor_comments

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.

Usage

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("ShivamSrng/before_covid_face_to_face_instructor_comments")

topic_model.get_topic_info()

Topic overview

• Number of topics: 34
• Number of training documents: 128154

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
0	teacher - teaches - cares students - teaching - teach	109785	0_teacher_teaches_cares students_teaching
1	explaining lab - explaining labs - understand lab - explain lab - understand labs	2012	1_explaining lab_explaining labs_understand lab_explain lab
2	tea - look - picture - coming think grief - taken seriously finals	1098	2_tea_look_picture_coming think grief
3	point - statement - happen - behavior - waste time	903	3_point_statement_happen_behavior
4	online class - class online - online class online - class online class - classes online	775	4_online class_class online_online class online_class online class
5	felt discouraged - understand lost everything - struggled - handled better - disappointed	726	5_felt discouraged_understand lost everything_struggled_handled better
6	project students - project class - projects difficult - projects exams - project topics	722	6_project students_project class_projects difficult_projects exams
7	implementations - technology - design - development - software	682	7_implementations_technology_design_development
8	certain topics - topics interesting - topics - topics covered - topic	668	8_certain topics_topics interesting_topics_topics covered
9	teach matlab - class matlab - matlab class - learn matlab - class level matlab	639	9_teach matlab_class matlab_matlab class_learn matlab
10	syntax errors instructions lexical - errors instructions lexical - errors instructions lexical analyzer - syntax errors instructions - syntax	633	10_syntax errors instructions lexical_errors instructions lexical_errors instructions lexical analyzer_syntax errors instructions
11	thank teaching - thank hard work - truly appreciate time - thank wonderful learning experience - thank opportunity	590	11_thank teaching_thank hard work_truly appreciate time_thank wonderful learning experience
12	hard focus hours - impatience - suggestion speed - need spend time - concentrate	581	12_hard focus hours_impatience_suggestion speed_need spend time
13	encourages learning - encourages students - helps students - helps understand concepts - keeps students	577	13_encourages learning_encourages students_helps students_helps understand concepts
14	practical examples - classroom real world applications - real life application - examples material - examples need teach	574	14_practical examples_classroom real world applications_real life application_examples material
15	actual feedback improve - actual feedback - provide feedback - critiques - constructive criticism	568	15_actual feedback improve_actual feedback_provide feedback_critiques
16	design students - architecture student - students design - architecture students - knows civil engineering	529	16_design students_architecture student_students design_architecture students
17	class notes - notes writing - writing notes - note taking - taking notes	487	17_class notes_notes writing_writing notes_note taking
18	class class needs - need improved class - class useful - disorganized class - class classes	485	18_class class needs_need improved class_class useful_disorganized class
19	responds emails - emails unanswered - emails respond - responded emails - respond emails	481	19_responds emails_emails unanswered_emails respond_responded emails
20	career learned great - enjoyed learning new - enjoyed learning - endeavors learned - feel learned important	453	20_career learned great_enjoyed learning new_enjoyed learning_endeavors learned
21	points exam - wrong partial credit - students mistake - points taken away - partial credit	429	21_points exam_wrong partial credit_students mistake_points taken away
22	bad experience college - classes graduate time - classes graduate - electives - tuition classes	421	22_bad experience college_classes graduate time_classes graduate_electives
23	teach chemical - teach chemistry - chemical engineering students - chemistry teachers - chemical engineering class	414	23_teach chemical_teach chemistry_chemical engineering students_chemistry teachers
24	strong accent difficult understand - strong accent hard understand - hard understand strong accent - difficult understand accent - difficult understand accent hard	380	24_strong accent difficult understand_strong accent hard understand_hard understand strong accent_difficult understand accent
25	group work class - group work - homework groups - different group work - groupwork	365	25_group work class_group work_homework groups_different group work
26	studio students - studio semesters - studio semester - teach integrated studio - students studio	360	26_studio students_studio semesters_studio semester_teach integrated studio
27	office hours - office hours said - hours office hours - office hours office - hours office	324	27_office hours_office hours said_hours office hours_office hours office
28	exams canvas - semester canvas - learn canvas - canvas page class - canvas class	307	28_exams canvas_semester canvas_learn canvas_canvas page class
29	ta student - best ta - helpful ta - ta needs - ta helpful knowledgeable	303	29_ta student_best ta_helpful ta_ta needs
30	moodle helpful - moodle students - utilize moodle - moodle help - moodle discussed	289	30_moodle helpful_moodle students_utilize moodle_moodle help
31	recommend great guy recommend - recommend charismatic guy wait - recommend great guy - recommend charismatic guy - recommend chance taken	220	31_recommend great guy recommend_recommend charismatic guy wait_recommend great guy_recommend charismatic guy
32	raise deserves raise - deserves pay raise - deserves raise - raise deserves raise raise - raise raise deserves raise	205	32_raise deserves raise_deserves pay raise_deserves raise_raise deserves raise raise
33	good work continue - good good work - good work good work - great work good work - good work great job	169	33_good work continue_good good work_good work good work_great work good work

Training hyperparameters

• calculate_probabilities: False
• language: None
• low_memory: False
• min_topic_size: 10
• n_gram_range: (1, 1)
• nr_topics: auto
• seed_topic_list: None
• top_n_words: 7
• verbose: True
• zeroshot_min_similarity: 0.7
• zeroshot_topic_list: None

Framework versions

• Numpy: 1.26.4
• HDBSCAN: 0.8.39
• UMAP: 0.5.7
• Pandas: 2.2.3
• Scikit-Learn: 1.5.2
• Sentence-transformers: 3.2.1
• Transformers: 4.46.2
• Numba: 0.60.0
• Plotly: 5.24.1
• Python: 3.10.11