# INFOSYS 723: Text Analytics and Business Application | UW–Madison [View on UW Courses](https://uwcourses.com/courses/INFOSYS_723) ## 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 17f08c566cf31593ca4d1766b4996620c33e73a79768b2977ef770e4ceb20692 ### course id INFOSYS 723 ### course uid course\_40c1c73bbdc9a1068fe35f7c ### catalog version id 692acd6e131f08b762fbff8d4b3a6c900fff031752282e41f33d8ecbb48300d4 ### course number 723 ### subjects * INFOSYS ### title TEXT ANALYTICS AND BUSINESS APPLICATION ### description An introduction to text mining and natural language processing for business applications. Provides an overview of text data and steps to make it usable and approaches for making text data useful in descriptive and predictive analytics applications. Topics include representation approaches, topic modeling, and an overview of key applications of natural language processing, such as chatbots and recommender systems. ### requirements text Graduate/professional standing or declared in graduate Business Exchange program ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id 92f649e9b170c71702ec5b5e2784cd42a4fc20ffad34eead46c3d1d2201a243b ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary An introduction to text mining and NLP for business applications, covering text representation, topic modeling, and applications like chatbots and recommender systems. ### llm topics * Text mining and natural language processing * Representation approaches * Topic modeling * Chatbots and recommender systems ### llm skills * Making text data usable for analytics * Applying text data to descriptive and predictive analytics * Text representation approaches * Topic modeling ### llm assumed background None recorded. ### llm search phrases * text mining business * NLP applications * topic modeling * chatbots recommender systems ### llm requirements status needs\_review ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 150fa5636216f1818b02e8f2ff44adea1b4640825e02e4ff50235918fce61e27 #### course id INFOSYS 723 #### 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 2024: 3.93 GPA, 96.6% A/AB (n=29 letter grades); Spring 2025: 3.62 GPA, 76.5% A/AB (n=17 letter grades); Spring 2026: 3.81 GPA, 88.9% A/AB (n=18 letter grades). ```json { "citations": [ { "course_id": "INFOSYS 723", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "95a0c811-6e94-3d5e-b490-25f1c0b4a193", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "INFOSYS 723", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "95a0c811-6e94-3d5e-b490-25f1c0b4a193", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "INFOSYS 723", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "95a0c811-6e94-3d5e-b490-25f1c0b4a193", "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": [], "condition": "Graduate/professional standing or declared in graduate Business Exchange program", "course": null, "evidence": "Graduate/professional standing or declared in graduate Business Exchange program", "id": "n0", "kind": "condition" } ] ``` #### notes * Unlinked course mention 'graduate Business Exchange program' requires review for canonical identity. #### root n0 #### status needs\_review ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_abcd9467951e2baced38bc1e", "source": "madgrades", "source_instructor_id": "6398589", "identity_basis": "source_id", "identity_status": "source_identified", "name": "QINGLAI HE", "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", "ratings": { "review_count": 2, "quality": 5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2, "profile_id": "rmp:2909003", "source_url": "https://www.ratemyprofessors.com/professor/2909003", "match_basis": "exact_name", "observed_at": "2026-09-07 16:11:12.683624+00:00", "courses": { "course_66917ac2b710b102608b82c8": { "review_count": 2, "quality": 5, "difficulty": 2.5, "quality_count": 2, "difficulty_count": 2 } }, "bayesian_quality": 3.781532530496905, "prior_mean": 3.6596857835465957, "prior_weight": 20 }, "grade_statistics": { "gpa": 3.688, "graded": 221, "counts": [ 135, 47, 31, 3, 5, 0, 0 ], "sections": 10 }, "instructor_url": "/instructors/QINGLAI_HE--instructor_abcd9467951e2baced38bc1e" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "INFOSYS 723", "course_uid": "course_40c1c73bbdc9a1068fe35f7c", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Qinglai He" ], "a": 26, "ab": 2, "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": 29, "source_aliases": [ "INFOSYS 723" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "INFOSYS 723", "course_uid": "course_40c1c73bbdc9a1068fe35f7c", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Qinglai He" ], "a": 8, "ab": 5, "b": 4, "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": 17, "source_aliases": [ "INFOSYS 723" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "INFOSYS 723", "course_uid": "course_40c1c73bbdc9a1068fe35f7c", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Qinglai He" ], "a": 13, "ab": 3, "b": 2, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 1, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 19, "source_aliases": [ "INFOSYS 723" ] } ] ``` ### statistics #### gpa 3.812 #### graded 64 #### counts * 47 * 10 * 7 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_40c1c73bbdc9a1068fe35f7c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_40c1c73bbdc9a1068fe35f7c-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_40c1c73bbdc9a1068fe35f7c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_40c1c73bbdc9a1068fe35f7c-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_40c1c73bbdc9a1068fe35f7c-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_40c1c73bbdc9a1068fe35f7c-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.8125 #### count 64 #### university ##### size 2411 ##### gpa Percentile 60 ##### count Percentile 33 ##### median Count 90 ##### 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 | 163 | false | | 3.2–3.6 | 604 | false | | 3.6–4.0 | 1627 | true | #### departments | subject | comparison | | ------- | ---------- | | INFOSYS | | ### terms #### 1244 ##### term 1244 ##### gpa 3.9310344827586206 ##### count 29 ##### departments | subject | comparison | | ------- | ---------- | | INFOSYS | | #### 1254 ##### term 1254 ##### gpa 3.6176470588235294 ##### count 17 ##### departments | subject | comparison | | ------- | ---------- | | INFOSYS | | #### 1264 ##### term 1264 ##### gpa 3.8055555555555554 ##### count 18 ##### departments | subject | comparison | | ------- | ---------- | | INFOSYS | | ### benchmarks #### all ##### school ###### size 2411 ###### gpa 3.6770271983084943 ###### top Share 83.11222705251026 ###### count 90 #### terms ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ## instructor Trends ```json [ { "uid": "instructor_abcd9467951e2baced38bc1e", "name": "QINGLAI HE", "count": 64, "terms": [ { "term": "1244", "count": 29, "sections": 1, "gpa": 3.9310344827586206 }, { "term": "1254", "count": 17, "sections": 1, "gpa": 3.6176470588235294 }, { "term": "1264", "count": 18, "sections": 1, "gpa": 3.8055555555555554 } ] } ] ``` ## following None recorded.