# GENBUS 891: Text Mining and Generation for Business Analytics | UW–Madison [View on UW Courses](https://uwcourses.com/courses/GENBUS_891) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07 ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T19:50:42.743001+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id 8a103d59b8c15537caa5d42e87a26176f6466cb76864150640c8fcaa69abacbc ### course id GENBUS 891 ### course uid course\_99f7c1673b99d6ec64cbb289 ### catalog version id a390b9588276b797ff3f267683f9981aa6f9316d9d29a1b9f8bcb4420d7ca5dc ### course number 891 ### subjects * GENBUS ### title TEXT MINING AND GENERATION FOR BUSINESS ANALYTICS ### description An introduction to text mining and generation for business applications. Includes an overview of text data and approaches for making text data useful for descriptive and predictive analytics. Also, includes key applications of natural language processing, such as chatbots and recommender systems. ### requirements text (GEN BUS 657, concurrent enrollment inGEN BUS 657, or GEN BUS 888 prior to Fall 2025) andGEN BUS 883 ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 1d85559f0ce4e259b17e59bbf70d7af787c89f4d6208c70d404d6bbd28317147 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary GENBUS 891 introduces text mining and generation techniques for business analytics, covering NLP applications like chatbots and recommender systems. ### llm topics * Text mining, predictive analytics, NLP, chatbots, recommender systems ### llm skills * Text mining, text generation, and NLP application development. ### llm assumed background * Foundational knowledge in machine learning, predictive modeling, data visualization, and cloud technologies. ### llm search phrases * text mining business * NLP chatbots recommender systems * text generation analytics * GENBUS 891 prerequisites ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 91c62cb4e4974a6e8631143f3fb75de53057d86bd877cd090ab28a3143f16136 #### course id GENBUS 891 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2025: 3.93 GPA, 97.3% A/AB (n=37 letter grades); Spring 2026: 3.94 GPA, 96.2% A/AB (n=80 letter grades). ```json { "citations": [ { "course_id": "GENBUS 891", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "41df1518-aa82-30ba-920a-08a8c649aa3b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "GENBUS 891", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "41df1518-aa82-30ba-920a-08a8c649aa3b", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1264", "type": "grade" } ] } ``` #### student experience None recorded. #### task hash 74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68 #### teaching history None recorded. #### term id 1272 #### term name 2026 Fall #### version 2 ### requirements #### nodes ```json [ { "children": [ "n1", "n2" ], "condition": null, "course": null, "evidence": "(GEN BUS 657, concurrent enrollment inGEN BUS 657, or GEN BUS 888 prior to Fall 2025) andGEN BUS 883", "id": "n0", "kind": "all" }, { "children": [ "n3", "n4", "n5" ], "condition": null, "course": null, "evidence": "GEN BUS 657, concurrent enrollment inGEN BUS 657, or GEN BUS 888 prior to Fall 2025", "id": "n1", "kind": "any" }, { "children": [], "condition": null, "course": { "course_number": 883, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 883", "id": "n2", "kind": "course" }, { "children": [], "condition": null, "course": { "course_number": 657, "minimum_grade": null, "subjects": [ "GENBUS" ], "timing": "prior" }, "evidence": "GEN BUS 657", "id": "n3", "kind": "course" }, { "children": [], "condition": "concurrent enrollment inGEN BUS 657", "course": null, "evidence": "concurrent enrollment inGEN BUS 657", "id": "n4", "kind": "condition" }, { "children": [], "condition": "GEN BUS 888 prior to Fall 2025", "course": null, "evidence": "GEN BUS 888 prior to Fall 2025", "id": "n5", "kind": "condition" } ] ``` #### notes * GEN BUS 888 is mentioned in requirements but not in linked\_courses; identity and logic require review. * GEN BUS 657 appears as both a prior course (n3) and a concurrent condition (n4); this reflects the 'or' structure in the source text. #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_2661895f6196ded07b75e1c6", "source": "madgrades", "source_instructor_id": "6363864", "identity_basis": "source_id", "identity_status": "source_identified", "name": "CODY BALDWIN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.904, "graded": 1910, "counts": [ 1701, 107, 78, 14, 4, 1, 5 ], "sections": 39 }, "instructor_url": "/instructors/CODY_BALDWIN--instructor_2661895f6196ded07b75e1c6" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 891", "course_uid": "course_99f7c1673b99d6ec64cbb289", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Cody Baldwin" ], "a": 33, "ab": 3, "b": 1, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 37, "source_aliases": [ "GENBUS 891" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "GENBUS 891", "course_uid": "course_99f7c1673b99d6ec64cbb289", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Cody Baldwin" ], "a": 74, "ab": 3, "b": 2, "bc": 1, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 80, "source_aliases": [ "GENBUS 891" ] } ] ``` ### statistics #### gpa 3.936 #### graded 117 #### counts * 107 * 6 * 3 * 1 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_99f7c1673b99d6ec64cbb289-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_99f7c1673b99d6ec64cbb289-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_99f7c1673b99d6ec64cbb289-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_99f7c1673b99d6ec64cbb289-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_99f7c1673b99d6ec64cbb289-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_99f7c1673b99d6ec64cbb289-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.9358974358974357 #### count 117 #### university ##### size 2021 ##### gpa Percentile 82 ##### count Percentile 65 ##### median Count 77 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 21 | false | | 2.8–3.2 | 152 | false | | 3.2–3.6 | 521 | false | | 3.6–4.0 | 1327 | true | #### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 40, "gpaPercentile": 87, "countPercentile": 51, "medianCount": 98.5, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 10, "current": false }, { "range": "3.6–4.0", "count": 29, "current": true } ] } } ] ``` ### terms #### 1254 ##### term 1254 ##### gpa 3.9324324324324325 ##### count 37 ##### university ###### size 1289 ###### gpa Percentile 86 ###### count Percentile 15 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 17 | false | | 2.8–3.2 | 128 | false | | 3.2–3.6 | 379 | false | | 3.6–4.0 | 765 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 28, "gpaPercentile": 93, "countPercentile": 15, "medianCount": 83, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 11, "current": false }, { "range": "3.6–4.0", "count": 16, "current": true } ] } } ] ``` #### 1264 ##### term 1264 ##### gpa 3.9375 ##### count 80 ##### university ###### size 1283 ###### gpa Percentile 85 ###### count Percentile 58 ###### median Count 66 ###### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 1 | false | | 2.4–2.8 | 20 | false | | 2.8–3.2 | 130 | false | | 3.2–3.6 | 343 | false | | 3.6–4.0 | 789 | true | ##### departments ```json [ { "subject": "GENBUS", "comparison": { "size": 30, "gpaPercentile": 90, "countPercentile": 55, "medianCount": 79, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 1, "current": false }, { "range": "3.2–3.6", "count": 7, "current": false }, { "range": "3.6–4.0", "count": 22, "current": true } ] } } ] ``` ### benchmarks #### all ##### school ###### size 2021 ###### gpa 3.660373947354374 ###### top Share 82.25902967226666 ###### count 77 ##### GENBUS ###### size 40 ###### gpa 3.695502651119173 ###### top Share 84.13911948598708 ###### count 98.5 #### terms ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### GENBUS ###### size 28 ###### gpa 3.642800867856554 ###### top Share 80.80715279553331 ###### count 83 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### GENBUS ###### size 30 ###### gpa 3.6817668874579623 ###### top Share 83.39332566820664 ###### count 79 ## instructor Trends ```json [ { "uid": "instructor_2661895f6196ded07b75e1c6", "name": "CODY BALDWIN", "count": 117, "terms": [ { "term": "1254", "count": 37, "sections": 1, "gpa": 3.9324324324324325 }, { "term": "1264", "count": 80, "sections": 1, "gpa": 3.9375 } ] } ] ``` ## following None recorded.