--- library_name: sklearn license: mit tags: - sklearn - skops - text-classification model_format: pickle model_file: pipeline_sentiment_analysis.pkl --- # Model description This is a pipeline for sentiment analysis trained on the Stanford Twitter dataset.TF-IDF vectorizer is used for vectorization. ## Intended uses & limitations [More Information Needed] ## Training Procedure [More Information Needed] ### Hyperparameters

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| Hyperparameter | Value | |---------------------------|-------------------------| | memory | | | steps | [('vectorizer', TfidfVectorizer(encoding='latin-1', min_df=5, ngram_range=(1, 2),
sublinear_tf=True)), ('mnb', MultinomialNB())] | | verbose | False | | vectorizer | TfidfVectorizer(encoding='latin-1', min_df=5, ngram_range=(1, 2),
sublinear_tf=True) | | mnb | MultinomialNB() | | vectorizer__analyzer | word | | vectorizer__binary | False | | vectorizer__decode_error | strict | | vectorizer__dtype | | | vectorizer__encoding | latin-1 | | vectorizer__input | content | | vectorizer__lowercase | True | | vectorizer__max_df | 1.0 | | vectorizer__max_features | | | vectorizer__min_df | 5 | | vectorizer__ngram_range | (1, 2) | | vectorizer__norm | l2 | | vectorizer__preprocessor | | | vectorizer__smooth_idf | True | | vectorizer__stop_words | | | vectorizer__strip_accents | | | vectorizer__sublinear_tf | True | | vectorizer__token_pattern | (?u)\b\w\w+\b | | vectorizer__tokenizer | | | vectorizer__use_idf | True | | vectorizer__vocabulary | | | mnb__alpha | 1.0 | | mnb__class_prior | | | mnb__fit_prior | True | | mnb__force_alpha | True |

### Model Plot

Pipeline(steps=[('vectorizer',TfidfVectorizer(encoding='latin-1', min_df=5,ngram_range=(1, 2), sublinear_tf=True)),('mnb', MultinomialNB())])

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## Evaluation Results [More Information Needed] # How to Get Started with the Model [More Information Needed] # Model Card Authors This model card is written by following authors: [More Information Needed] # Model Card Contact You can contact the model card authors through following channels: [More Information Needed] # Citation Below you can find information related to citation. **BibTeX:** ``` [More Information Needed] ``` # get_started_code import joblib model = joblib.load('pipeline_sentiment_analysis.pkl') # model_card_authors Rodrigo Rodrigues do Carmo # limitations This pipeline is for studying purposes only.