Modelpublic

rodrigorcarmo/ia_collab_sentiment

sourceHugging Facemitupdated 2y agoView on Hugging Face

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Model Card

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

<details> <summary> Click to expand </summary>

Hyperparameter	Value
memory
steps	[('vectorizer', TfidfVectorizer(encoding='latin-1', mindf=5, ngramrange=(1, 2),<br /> sublinear_tf=True)), ('mnb', MultinomialNB())]
verbose	False
vectorizer	TfidfVectorizer(encoding='latin-1', mindf=5, ngramrange=(1, 2),<br /> sublinear_tf=True)
mnb	MultinomialNB()
vectorizer__analyzer	word
vectorizer__binary	False
vectorizer_decodeerror	strict
vectorizer__dtype	<class 'numpy.float64'>
vectorizer__encoding	latin-1
vectorizer__input	content
vectorizer__lowercase	True
vectorizer_maxdf	1.0
vectorizer_maxfeatures
vectorizer_mindf	5
vectorizer_ngramrange	(1, 2)
vectorizer__norm	l2
vectorizer__preprocessor
vectorizer_smoothidf	True
vectorizer_stopwords
vectorizer_stripaccents
vectorizer_sublineartf	True
vectorizer_tokenpattern	(?u)\b\w\w+\b
vectorizer__tokenizer
vectorizer_useidf	True
vectorizer__vocabulary
mnb__alpha	1.0
mnb_classprior
mnb_fitprior	True
mnb_forcealpha	True

</details>

Model Plot

—Pipeline and ColumnTransformer use this feature and define the default style
—Estimators will overwrite some part of the style using the sk-estimator class // Pipeline and ColumnTransformer style (default) /#sk-container-id-2 div.sk-toggleable {/ Default theme specific background. It is overwritten whether we have aspecific estimator or a Pipeline/ColumnTransformer /background-color: var(--sklearn-color-background); }/ Toggleable label / #sk-container-id-2 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.5em;box-sizing: border-box;text-align: center; }#sk-container-id-2 label.sk-toggleable__label-arrow:before {/ Arrow on the left of the label /content: "▸";float: left;margin-right: 0.25em;color: var(--sklearn-color-icon); }#sk-container-id-2 label.sk-toggleable__label-arrow:hover:before {color: var(--sklearn-color-text); }/ Toggleable content - dropdown /#sk-container-id-2 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;/ unfitted /background-color: var(--sklearn-color-unfitted-level-0); }#sk-container-id-2 div.sk-toggleable__content.fitted {/ fitted /background-color: var(--sklearn-color-fitted-level-0); }#sk-container-id-2 div.sk-toggleable__content pre {margin: 0.2em;border-radius: 0.25em;color: var(--sklearn-color-text);/ unfitted /background-color: var(--sklearn-color-unfitted-level-0); }#sk-container-id-2 div.sk-toggleable__content.fitted pre {/ unfitted /background-color: var(--sklearn-color-fitted-level-0); }#sk-container-id-2 input.sk-toggleable__control:checked~div.sk-toggleable__content {/ Expand drop-down /max-height: 200px;max-width: 100%;overflow: auto; }#sk-container-id-2 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: "▾"; }/ Pipeline/ColumnTransformer-specific style /#sk-container-id-2 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2); }#sk-container-id-2 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: var(--sklearn-color-fitted-level-2); }/ Estimator-specific style // Colorize estimator box / #sk-container-id-2 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {/ unfitted /background-color: var(--sklearn-color-unfitted-level-2); }#sk-container-id-2 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {/ fitted /background-color: var(--sklearn-color-fitted-level-2); }#sk-container-id-2 div.sk-label label.sk-toggleable__label, #sk-container-id-2 div.sk-label label {/ The background is the default theme color /color: var(--sklearn-color-text-on-default-background); }/ On hover, darken the color of the background / #sk-container-id-2 div.sk-label:hover label.sk-toggleable__label {color: var(--sklearn-color-text);background-color: var(--sklearn-color-unfitted-level-2); }/ Label box, darken color on hover, fitted / #sk-container-id-2 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {color: var(--sklearn-color-text);background-color: var(--sklearn-color-fitted-level-2); }/ Estimator label /#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em; }#sk-container-id-2 div.sk-label-container {text-align: center; }/ Estimator-specific / #sk-container-id-2 div.sk-estimator {font-family: monospace;border: 1px dotted var(--sklearn-color-border-box);border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;/ unfitted /background-color: var(--sklearn-color-unfitted-level-0); }#sk-container-id-2 div.sk-estimator.fitted {/ fitted /background-color: var(--sklearn-color-fitted-level-0); }/ on hover / #sk-container-id-2 div.sk-estimator:hover {/ unfitted /background-color: var(--sklearn-color-unfitted-level-2); }#sk-container-id-2 div.sk-estimator.fitted:hover {/ fitted /background-color: var(--sklearn-color-fitted-level-2); }/ Specification for estimator info (e.g. "i" and "?") // Common style for "i" and "?" /.sk-estimator-doc-link, a:link.sk-estimator-doc-link, a:visited.sk-estimator-doc-link {float: right;font-size: smaller;line-height: 1em;font-family: monospace;background-color: var(--sklearn-color-background);border-radius: 1em;height: 1em;width: 1em;text-decoration: none !important;margin-left: 1ex;/ unfitted /border: var(--sklearn-color-unfitted-level-1) 1pt solid;color: var(--sklearn-color-unfitted-level-1); }.sk-estimator-doc-link.fitted, a:link.sk-estimator-doc-link.fitted, a:visited.sk-estimator-doc-link.fitted {/ fitted /border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1); }/ On hover / div.sk-estimator:hover .sk-estimator-doc-link:hover, .sk-estimator-doc-link:hover, div.sk-label-container:hover .sk-estimator-doc-link:hover, .sk-estimator-doc-link:hover {/ unfitted /background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none; }div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover, .sk-estimator-doc-link.fitted:hover, div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover, .sk-estimator-doc-link.fitted:hover {/ fitted /background-color: var(--sklearn-color-fitted-level-3);color: var(--sklearn-color-background);text-decoration: none; }/ Span, style for the box shown on hovering the info icon / .sk-estimator-doc-link span {display: none;z-index: 9999;position: relative;font-weight: normal;right: .2ex;padding: .5ex;margin: .5ex;width: min-content;min-width: 20ex;max-width: 50ex;color: var(--sklearn-color-text);box-shadow: 2pt 2pt 4pt #999;/ unfitted /background: var(--sklearn-color-unfitted-level-0);border: .5pt solid var(--sklearn-color-unfitted-level-3); }.sk-estimator-doc-link.fitted span {/ fitted /background: var(--sklearn-color-fitted-level-0);border: var(--sklearn-color-fitted-level-3); }.sk-estimator-doc-link:hover span {display: block; }/ "?"-specific style due to the <a> HTML tag /#sk-container-id-2 a.estimator_doc_link {float: right;font-size: 1rem;line-height: 1em;font-family: monospace;background-color: var(--sklearn-color-background);border-radius: 1rem;height: 1rem;width: 1rem;text-decoration: none;/ unfitted /color: var(--sklearn-color-unfitted-level-1);border: var(--sklearn-color-unfitted-level-1) 1pt solid; }#sk-container-id-2 a.estimator_doc_link.fitted {/ fitted /border: var(--sklearn-color-fitted-level-1) 1pt solid;color: var(--sklearn-color-fitted-level-1); }/ On hover / #sk-container-id-2 a.estimator_doc_link:hover {/ unfitted /background-color: var(--sklearn-color-unfitted-level-3);color: var(--sklearn-color-background);text-decoration: none; }#sk-container-id-2 a.estimator_doc_link.fitted:hover {/ fitted */background-color: var(--sklearn-color-fitted-level-3); } </style><div id="sk-container-id-2" class="sk-top-container" style="overflow: auto;"><div class="sk-text-repr-fallback"><pre>Pipeline(steps=[('vectorizer',TfidfVectorizer(encoding='latin-1', mindf=5,ngramrange=(1, 2), sublineartf=True)),('mnb', MultinomialNB())])</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class="sk-container" hidden><div class="sk-item sk-dashed-wrapped"><div class="sk-label-container"><div class="sk-label fitted sk-toggleable"><input class="sk-toggleablecontrol sk-hidden--visually" id="sk-estimator-id-4" type="checkbox" ><label for="sk-estimator-id-4" class="sk-toggleablelabel fitted sk-toggleablelabel-arrow fitted">  Pipeline<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.pipeline.Pipeline.html">?<span>Documentation for Pipeline</span></a><span class="sk-estimator-doc-link fitted">i<span>Fitted</span></span></label><div class="sk-toggleable_content fitted"><pre>Pipeline(steps=[('vectorizer',TfidfVectorizer(encoding='latin-1', mindf=5,ngramrange=(1, 2), sublineartf=True)),('mnb', MultinomialNB())])</pre></div> </div></div><div class="sk-serial"><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable_control sk-hidden--visually" id="sk-estimator-id-5" type="checkbox" ><label for="sk-estimator-id-5" class="sk-toggleablelabel fitted sk-toggleablelabel-arrow fitted"> TfidfVectorizer<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.featureextraction.text.TfidfVectorizer.html">?<span>Documentation for TfidfVectorizer</span></a></label><div class="sk-toggleablecontent fitted"><pre>TfidfVectorizer(encoding='latin-1', mindf=5, ngramrange=(1, 2),sublineartf=True)</pre></div> </div></div><div class="sk-item"><div class="sk-estimator fitted sk-toggleable"><input class="sk-toggleable_control sk-hidden--visually" id="sk-estimator-id-6" type="checkbox" ><label for="sk-estimator-id-6" class="sk-toggleablelabel fitted sk-toggleablelabel-arrow fitted"> MultinomialNB<a class="sk-estimator-doc-link fitted" rel="noreferrer" target="blank" href="https://scikit-learn.org/1.5/modules/generated/sklearn.naivebayes.MultinomialNB.html">?<span>Documentation for MultinomialNB</span></a></label><div class="sk-toggleable_content fitted"><pre>MultinomialNB()</pre></div> </div></div></div></div></div></div>

Evaluation Results

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How to Get Started with the Model

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Model Card Authors

This model card is written by following authors:

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Citation

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BibTeX:

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getstartedcode

import joblib model = joblib.load('pipelinesentimentanalysis.pkl')

modelcardauthors

Rodrigo Rodrigues do Carmo

limitations

This pipeline is for studying purposes only.