Add BERTopic model

README.md

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+
+---
+tags:
+- bertopic
+library_name: bertopic
+pipeline_tag: text-classification
+---
+
+# bertopic_dcd_auto_final
+
+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("vidric/bertopic_dcd_auto_final")
+
+topic_model.get_topic_info()
+```
+
+## Topic overview
+
+* Number of topics: 40
+* Number of training documents: 22195
+
+<details>
+  <summary>Click here for an overview of all topics.</summary>
+  
+  | Topic ID | Topic Keywords | Topic Frequency | Label | 
+|----------|----------------|-----------------|-------| 
+| -1 | wangi - tidak - banget - parfum - hmns | 12 | -1_wangi_tidak_banget_parfum | 
+| 0 | wangi - mantap - banget - enak - suka | 7512 | 0_wangi_mantap_banget_enak | 
+| 1 | alpha - farhampton - beli - saya - sama | 12436 | 1_alpha_farhampton_beli_saya | 
+| 2 | hari - sampai - kirim - minggu - pesan | 903 | 2_hari_sampai_kirim_minggu | 
+| 3 | order - repeat - kali - kesekian - bakal | 177 | 3_order_repeat_kali_kesekian | 
+| 4 | kalem - nyengat - wangi - enak - banget | 118 | 4_kalem_nyengat_wangi_enak | 
+| 5 | indonesia - bangga - produk - terus - harumkan | 70 | 5_indonesia_bangga_produk_terus | 
+| 6 | kualitas - bagus - produk - barang - baik | 63 | 6_kualitas_bagus_produk_barang | 
+| 7 | selamat - mendarat - dengan - barang - sampai | 61 | 7_selamat_mendarat_dengan_barang | 
+| 8 | respon - cepat - quick - good - jawab | 59 | 8_respon_cepat_quick_good | 
+| 9 | produk - bagus - sangat - penawaran - oke | 54 | 9_produk_bagus_sangat_penawaran | 
+| 10 | pokok - mantap - puas - jon - epic | 49 | 10_pokok_mantap_puas_jon | 
+| 11 | voucher - 50rb - 50k - dapat - 50 | 44 | 11_voucher_50rb_50k_dapat | 
+| 12 | hadiah - buat - semoga - dia - cocok | 39 | 12_hadiah_buat_semoga_dia | 
+| 13 | test - tester - mari - kita - coba | 35 | 13_test_tester_mari_kita | 
+| 14 | deskripsi - sesuai - barang - dengan - bagus | 34 | 14_deskripsi_sesuai_barang_dengan | 
+| 15 | worth - it - harga - sepadan - serius | 33 | 15_worth_it_harga_sepadan | 
+| 16 | chat - admin - barang - balas - respon | 33 | 16_chat_admin_barang_balas | 
+| 17 | 10ml - 10 - ml - 50ml - beli | 32 | 17_10ml_10_ml_50ml | 
+| 18 | layanan - service - baik - barang - oke | 31 | 18_layanan_service_baik_barang | 
+| 19 | 10 - silage - kedepanya - mayanlah - kemasin | 30 | 19_10_silage_kedepanya_mayanlah | 
+| 20 | kartu - card - tulis - greting - ucap | 30 | 20_kartu_card_tulis_greting | 
+| 21 | beli - 4x - bintang - kedua - pemesanan | 28 | 21_beli_4x_bintang_kedua | 
+| 22 | bicara - bintang - biar - nyang - limo | 28 | 22_bicara_bintang_biar_nyang | 
+| 23 | unik - istimewa - exceptional - addicted - cerita | 25 | 23_unik_istimewa_exceptional_addicted | 
+| 24 | buka - kotak - box - belum - unboxing | 25 | 24_buka_kotak_box_belum | 
+| 25 | akhirnya - bagi - dapat - juara - finaly | 21 | 25_akhirnya_bagi_dapat_juara | 
+| 26 | starterpacking - semakin - gara - bantu - merosot | 20 | 26_starterpacking_semakin_gara_bantu | 
+| 27 | review - orang - saja - zodiak - mag | 19 | 27_review_orang_saja_zodiak | 
+| 28 | ketiga - kali - memuaskan - beli - selalu | 18 | 28_ketiga_kali_memuaskan_beli | 
+| 29 | layanan - langsung - baru - cepat - service | 17 | 29_layanan_langsung_baru_cepat | 
+| 30 | admin - ramah - tersampaikan - mantap - layanan | 17 | 30_admin_ramah_tersampaikan_mantap | 
+| 31 | layanan - produk - bagus - service - terbaik | 17 | 31_layanan_produk_bagus_service | 
+| 32 | notes - note - midlle - base - mbak | 16 | 32_notes_note_midlle_base | 
+| 33 | bangga - lokal - pride - maszeh - kualitas | 16 | 33_bangga_lokal_pride_maszeh | 
+| 34 | bintang - harum - kasih - lima - hmns | 16 | 34_bintang_harum_kasih_lima | 
+| 35 | botol - kedua - tiga - sihir - ketiga | 15 | 35_botol_kedua_tiga_sihir | 
+| 36 | 10 - voucher - hari - november - tanggal | 15 | 36_10_voucher_hari_november | 
+| 37 | delta - team - deltanya - theta - senjata | 14 | 37_delta_team_deltanya_theta | 
+| 38 | travel - praktis - kecil - ukuran - tepa | 13 | 38_travel_praktis_kecil_ukuran |
+  
+</details>
+
+## Training hyperparameters
+
+* calculate_probabilities: True
+* language: None
+* low_memory: False
+* min_topic_size: 10
+* n_gram_range: (1, 1)
+* nr_topics: auto
+* seed_topic_list: None
+* top_n_words: 10
+* verbose: False
+
+## Framework versions
+
+* Numpy: 1.24.3
+* HDBSCAN: 0.8.29
+* UMAP: 0.5.3
+* Pandas: 2.0.1
+* Scikit-Learn: 1.2.2
+* Sentence-transformers: 2.2.2
+* Transformers: 4.29.2
+* Numba: 0.57.0
+* Plotly: 5.14.1
+* Python: 3.10.10

config.json

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+{
+  "calculate_probabilities": true,
+  "language": null,
+  "low_memory": false,
+  "min_topic_size": 10,
+  "n_gram_range": [
+    1,
+    1
+  ],
+  "nr_topics": "auto",
+  "seed_topic_list": null,
+  "top_n_words": 10,
+  "verbose": false,
+  "embedding_model": "distiluse-base-multilingual-cased"
+}

topic_embeddings.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:384e303e83f39738a026b16e499a02f6c7152531b0d89f2a6dc06cc737886ec2
+size 82008