--- tags: - bertopic library_name: bertopic pipeline_tag: text-classification --- # sj311_bertopic_2018_2021_hf 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("digitalprivacy-sanjoseca/sj311_bertopic_2018_2021_hf") topic_model.get_topic_info() ``` ## Topic overview * Number of topics: 79 * Number of training documents: 183097
Click here for an overview of all topics. | Topic ID | Topic Keywords | Topic Frequency | Label | |----------|----------------|-----------------|-------| | -1 | caller - number - wanted - caller wanted - garbage | 106 | Outlier | | 0 | street - parked - car - parking - vehicle | 54894 | Vehicle/Utilities inquiry | | 1 | junk - junk pick - pick junk - junk pick junk - pick junk pick | 63877 | Junk pick up | | 2 | business tax - tax - tax business tax - tax business - business tax business | 8274 | Business tax | | 3 | inquiry inquiry - inquiry inquiry inquiry - inquiry - inquiry inquiry caller - muni water inquiry | 4575 | Bill inquiry | | 4 | service start - start service - service start service - service - start | 4234 | Start/stop service | | 5 | missed - pick missed - missed pick missed - missed pick - pick missed pick | 2980 | Missed pick up | | 6 | water billing question - question caller water - caller water billing - water billing - billing question caller | 2522 | Water billing question | | 7 | payment line transfer - line transfer payment - line transfer - transfer payment line - transfer payment | 1825 | Transfer to payment line | | 8 | cws caller wanted - wanted number cws - number cws caller - cws caller - number cws | 1604 | Wanted number for CWS | | 9 | bin replace - replace bin replace - replace bin - replace - bin replace bin | 1467 | Replace garbage bins | | 10 | question caller garbage - garbage billing question - caller garbage billing - caller garbage - garbage billing | 1419 | Garbage billing question | | 11 | water payment caller - payment caller - payment caller water - caller water payment - water payment | 1280 | Caller made water payment | | 12 | license business license - license business - business license business - business license - license | 1260 | Business license | | 13 | water inquiry water - inquiry water - water inquiry - water water - inquiry water inquiry | 1231 | Water bill inquiry | | 14 | inquiry payment inquiry - inquiry payment - payment inquiry - payment inquiry payment - inquiry billing | 1214 | Payment/billing inquiry | | 15 | pu - pu junk - pu junk pu - junk pu - junk pu junk | 1148 | Junk pickup/missed pickup | | 16 | code enforcement - enforcement - code - enforcement caller wanted - enforcement caller | 1127 | Wanted number for Code Enforcement | | 17 | service inquiry service - inquiry service inquiry - inquiry service - service inquiry - service | 1072 | Service inquiry | | 18 | number gcs - gcs - gcs caller - number gcs caller - wanted number gcs | 1061 | Wanted number for GCS | | 19 | water start - start water start - water start water - start water - start | 1059 | Start water service | | 20 | number greenteam - greenteam - greenteam caller - number greenteam caller - wanted number greenteam | 1034 | Wanted number for GreenTeam | | 21 | police issue police - issue police - police issue - issue police issue - police | 988 | Police issue/report | | 22 | look employee - employee look employee - employee look - employee - look | 978 | Employee look up | | 23 | stop water - water stop - stop - stop water stop - water stop water | 949 | Stop water service | | 24 | shut shut - shut shut shut - shut - hang - hang hang | 949 | Shut off call/hung up call | | 25 | garbage inquiry garbage - inquiry garbage - garbage inquiry - inquiry garbage inquiry - garbage | 912 | Garbage bill inquiry | | 26 | wanted number dot - number dot - dot caller wanted - number dot caller - dot caller | 903 | Wanted number for DOT Streets Dispatch | | 27 | que - los - la - 2447 - solicitudes | 886 | Single user - repeated abandoned vehicle request | | 28 | cart - garbage cart - cart garbage cart - damaged cart - broken garbage cart | 852 | Broken/replace garbage cart | | 29 | tax bus tax - bus tax bus - tax bus - bus tax - bus | 838 | Bus tax | | 30 | broken - broken broken - broken garbage - broken garbage broken - garbage broken | 791 | Broken/replace garbage cart | | 31 | mw shut mw - shut mw shut - shut mw - mw shut - mw | 772 | MW shutoff | | 32 | water service caller - service caller - caller started water - caller started - started water service | 764 | Start water service | | 33 | parking compliance - parking compliance parking - compliance parking - compliance - compliance parking compliance | 725 | Parking compliance/illegal parking | | 34 | online - online help - online help online - help online - online assistance | 650 | Online assistance/HR | | 35 | garbage billing garbage - billing garbage - billing garbage billing - garbage billing - billing | 643 | Garbage billing/payment | | 36 | emergency non emergency - emergency non - non emergency non - non emergency - emergency | 641 | Non-emergency | | 37 | number wrong number - wrong number wrong - number wrong - wrong number - wrong | 581 | Wrong number | | 38 | dot rollover dot - rollover dot - rollover dot rollover - dot rollover - rollover | 560 | DOT rollover | | 39 | recycle - missed recycle - recycle missed recycle - recycle missed - recycle broken | 488 | Missed/broken/replace recycling | | 40 | company water company - company water - water company water - water company - company | 454 | Other water company | | 41 | sewer sewer - sewer - sewer sewer sewer - sewer billing sewer - billing sewer | 443 | Sewer backed up | | 42 | balance - inquire balance - inquire - balance inquiry - balance inquire | 439 | Balance inquiry | | 43 | payment water payment - water payment water - payment water - water payment - payment | 425 | Water billing | | 44 | billing mfd - mfd billing mfd - billing mfd billing - mfd billing - mfd | 407 | MFD billing | | 45 | emergency police caller - police caller - number non - number non emergency - non emergency police | 388 | Wanted number for non-emergency police | | 46 | courtesy courtesy courtesy - courtesy courtesy - courtesy - courtesy courtesy caller - courtesy caller needed | 385 | Courtesy call | | 47 | large - item pick large - pick large - pick large item - large item pick | 358 | Large item pick up | | 48 | animal - services animal - animal services animal - animal services - care animal | 348 | Animal services | | 49 | water payment water - payment water payment - payment water - water payment - payment | 341 | Water payment - new owner | | 50 | abandoned vehicle abandoned - vehicle abandoned vehicle - vehicle abandoned - abandoned vehicle - abandoned | 311 | Abandoned vehicle | | 51 | wanted number muni - muni water caller - number muni water - number muni - muni water | 292 | Wanted number of Muni Water | | 52 | animal dead - dead animal dead - animal dead animal - dead animal - dead | 290 | Dead animal | | 53 | paid balance paid - balance paid - balance paid balance - paid balance - paid | 269 | Paid balance | | 54 | covid 19 closure - 19 closure - 19 closure inquiry - inquiry covid 19 - closure inquiry | 247 | COVID-19 inquiry | | 55 | sj water sj - water sj - water sj water - sj water - sj | 234 | San Jose Water | | 56 | garbage exchange - exchange garbage exchange - garbage exchange garbage - exchange garbage - exchange | 213 | Exchange garbage | | 57 | ad hoc ad - hoc ad hoc - hoc ad - ad hoc - ad | 203 | Ad hoc bill | | 58 | public works public - works public - works public works - public works - works | 196 | Public works | | 59 | missing cart missing - cart missing cart - missing cart - cart missing - missing | 183 | Missing cart | | 60 | oil - jugs - oil jugs - jugs oil - oil jugs oil | 181 | Used motor oil filter/jug pickup | | 61 | bulky pick - bulky pick bulky - pick bulky - pick bulky pick - bulky | 177 | Bulky pick up | | 62 | speaker spanish - spanish speaker spanish - speaker spanish speaker - spanish speaker - speaker | 174 | Spanish speaker | | 63 | services retirement - retirement - retirement services retirement - services retirement services - retirement services | 172 | Retirement services | | 64 | express issue caller - issue caller express - caller express issue - express issue - caller express | 167 | Ebill express issue | | 65 | response response - response response response - response - wedged bushes left - left 1359 | 164 | No response | | 66 | sweeping street sweeping - sweeping street - street sweeping street - street sweeping - sweeping | 159 | Street sweeping | | 67 | repaired sidewalk needs - repaired sidewalk - needs repaired sidewalk - sidewalk needs repaired - needs repaired | 153 | Sidewalk repair | | 68 | inq inq - inq inq inq - inq - employment verification inq - verification inq | 141 | Bill inquiry | | 69 | pay pay - pay pay pay - pay - pay pay termination - pay pay like | 140 | Pay bill | | 70 | water company caller - company caller - needed number san - number san - number san jose | 130 | Wanted number of San Jose Water | | 71 | desk auto desk - desk auto - auto desk auto - auto desk - desk | 116 | Auto desk | | 72 | report violation - violation report violation - report violation report - violation report - violation | 115 | Report violation | | 73 | gb gb gb - gb gb - gb - mhp gb gb - gb mhp gb | 113 | Gb bill | | 74 | rights rental - rights rental rights - rental rights rental - rental rights - rights | 110 | Rental rights | | 75 | bus tx - tx - tx bus - tx bus tx - bus tx bus | 110 | Bus tx | | 76 | ebill exp ebill - exp ebill - exp ebill exp - ebill exp - exp | 108 | Ebill express | | 77 | new gb ct - ct new gb - gb ct new - ct new - new gb | 108 | New gb ct |
## Training hyperparameters * calculate_probabilities: False * language: None * low_memory: False * min_topic_size: 30 * n_gram_range: (1, 3) * nr_topics: auto * 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: 2.5.1 * Transformers: 4.38.2 * Numba: 0.58.1 * Plotly: 5.15.0 * Python: 3.10.12