Merge pull request #6422 from JohnSnowLabs/2021-11-07-bert_sequence_classifier_banking77_en_umGUhbgMgSVREizOlHjpqmwM

2021-11-07-bert_sequence_classifier_banking77_en

Author: maziyarpanahi

docs/_posts/murat-gunay/2021-11-07-bert_sequence_classifier_banking77_en.md

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+---
+layout: model
+title: BERT Sequence Classification - Classify Banking-Related texts
+author: John Snow Labs
+name: bert_sequence_classifier_banking77
+date: 2021-11-07
+tags: [banking, bert_for_sequence_classification, classification, en, open_source]
+task: Text Classification
+language: en
+edition: Spark NLP 3.3.2
+spark_version: 2.4
+supported: true
+article_header:
+  type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+This model is imported from `Hugging Face-models` and it classifies texts into 77 banking-related classes.
+
+## Predicted Entities
+
+`activate_my_card`, `age_limit`, `card_acceptance`, `card_arrival`, `card_delivery_estimate`, `card_linking`, `card_not_working`, `card_payment_fee_charged`, `card_payment_not_recognised`, `card_payment_wrong_exchange_rate`, `card_swallowed`, `cash_withdrawal_charge`, `apple_pay_or_google_pay`, `cash_withdrawal_not_recognised`, `change_pin`, `compromised_card`, `contactless_not_working`, `country_support`, `declined_card_payment`, `declined_cash_withdrawal`, `declined_transfer`, `direct_debit_payment_not_recognised`, `disposable_card_limits`, `atm_support`, `edit_personal_details`, `exchange_charge`, `exchange_rate`, `exchange_via_app`, `extra_charge_on_statement`, `failed_transfer`, `fiat_currency_support`, `get_disposable_virtual_card`, `get_physical_card`, `getting_spare_card`, `automatic_top_up`, `getting_virtual_card`, `lost_or_stolen_card`, `lost_or_stolen_phone`, `order_physical_card`, `passcode_forgotten`, `pending_card_payment`, `pending_cash_withdrawal`, `pending_top_up`, `pending_transfer`, `pin_blocked`, `balance_not_updated_after_bank_transfer`, `receiving_money`, `Refund_not_showing_up`, `request_refund`, `reverted_card_payment?`, `supported_cards_and_currencies`, `terminate_account`, `top_up_by_bank_transfer_charge`, `top_up_by_card_charge`, `top_up_by_cash_or_cheque`, `top_up_failed`, `balance_not_updated_after_cheque_or_cash_deposit`, `top_up_limits`, `top_up_reverted`, `topping_up_by_card`, `transaction_charged_twice`, `transfer_fee_charged`, `transfer_into_account`, `transfer_not_received_by_recipient`, `transfer_timing`, `unable_to_verify_identity`, `verify_my_identity`, `beneficiary_not_allowed`, `verify_source_of_funds`, `verify_top_up`, `virtual_card_not_working`, `visa_or_mastercard`, `why_verify_identity`, `wrong_amount_of_cash_received`, `wrong_exchange_rate_for_cash_withdrawal`, `cancel_transfer`, `card_about_to_expire`
+
+{:.btn-box}
+<button class="button button-orange" disabled>Live Demo</button>
+<button class="button button-orange" disabled>Open in Colab</button>
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sequence_classifier_banking77_en_3.3.2_2.4_1636277240241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+
+## How to use
+
+
+
+<div class="tabs-box" markdown="1">
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+document_assembler = DocumentAssembler() \
+    .setInputCol('text') \
+    .setOutputCol('document')
+
+tokenizer = Tokenizer() \
+    .setInputCols(['document']) \
+    .setOutputCol('token')
+
+sequenceClassifier = BertForSequenceClassification \
+      .pretrained('bert_sequence_classifier_banking77', 'en') \
+      .setInputCols(['token', 'document']) \
+      .setOutputCol('class') \
+      .setCaseSensitive(True) \
+      .setMaxSentenceLength(512)
+
+pipeline = Pipeline(stages=[document_assembler, tokenizer, sequenceClassifier])
+
+example = spark.createDataFrame([['I am still waiting on my card?']]).toDF("text")
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document_assembler = DocumentAssembler() 
+    .setInputCol("text") 
+    .setOutputCol("document")
+
+val tokenizer = Tokenizer() 
+    .setInputCols("document") 
+    .setOutputCol("token")
+
+val tokenClassifier = BertForSequenceClassification("bert_sequence_classifier_banking77", "en")
+      .setInputCols("document", "token")
+      .setOutputCol("class")
+      .setCaseSensitive(true)
+      .setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document_assembler, tokenizer, sequenceClassifier))
+
+val example = Seq.empty["I am still waiting on my card?"].toDS.toDF("text")
+
+val result = pipeline.fit(example).transform(example)
+```
+</div>
+
+## Results
+
+```bash
+['atm_support']
+```
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_sequence_classifier_banking77|
+|Compatibility:|Spark NLP 3.3.2+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[token, sentence]|
+|Output Labels:|[label]|
+|Language:|en|
+|Case sensitive:|true|
+
+## Data Source
+
+[https://huggingface.co/philschmid/BERT-Banking77](https://huggingface.co/philschmid/BERT-Banking77)