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ym001 · May 13, 2020 · 2eef643 · 2eef643
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diff --git a/README.md b/README.md
@@ -4,7 +4,7 @@ Manteia - proclaim the good word
 Designing your neural network to natural language processing. Deep learning has been used extensively in natural language processing (NLP) because
 it is well suited for learning the complex underlying structure of a sentence and semantic proximity of various words.
 Data cleaning, construction model (Bert, Roberta, Distilbert, XLNet, Albert, GPT, GPT2),
-quality measurement training and finally visualization of your results on several dataset ( 20newsgroups, SST-2, PubMed_20k_RCT, DBPedia, Amazon Review Full, Amazon Review Polarity)..
+quality measurement training and finally visualization of your results on several dataset ( 20newsgroups, SST-2, PubMed_20k_RCT, DBPedia, Amazon Review Full, Amazon Review Polarity).
 
 
 You can install it with pip :

diff --git a/docs/_build/doctrees/environment.pickle b/docs/_build/doctrees/environment.pickle
diff --git a/docs/_build/doctrees/index.doctree b/docs/_build/doctrees/index.doctree
diff --git a/docs/_build/html/_sources/index.rst.txt b/docs/_build/html/_sources/index.rst.txt
@@ -2,7 +2,9 @@
 Simple Documentation Tutorial : Mantéïa
 =======================================
 
-Designing your neural network to natural language processing. Deep learning has been used extensively in natural language processing (NLP) because it is well suited for learning the complex underlying structure of a sentence and semantic proximity of various words. Data cleaning, construction model (Bert, Roberta, Distilbert, XLNet, Albert, GPT, GPT2), quality measurement training and finally visualization of your results on several dataset (20newsgroups,SST-2,PubMed_20k_RCT).
+Designing your neural network to natural language processing. Deep learning has been used extensively in natural language processing (NLP) because it is well suited for learning the complex underlying structure of a sentence and semantic proximity of various words. Data cleaning
+, construction model (Bert, Roberta, Distilbert, XLNet, Albert, GPT, GPT2), quality measurement training and finally visualization
+of your results on several dataset ( 20newsgroups, SST-2, PubMed_20k_RCT, DBPedia, Amazon Review Full, Amazon Review Polarity)..
 
 Classes
 =======

diff --git a/docs/_build/html/index.html b/docs/_build/html/index.html
@@ -165,7 +165,9 @@
 
   <div class="section" id="simple-documentation-tutorial-manteia">
 <h1>Simple Documentation Tutorial : Mantéïa<a class="headerlink" href="#simple-documentation-tutorial-manteia" title="Permalink to this headline">¶</a></h1>
-<p>Designing your neural network to natural language processing. Deep learning has been used extensively in natural language processing (NLP) because it is well suited for learning the complex underlying structure of a sentence and semantic proximity of various words. Data cleaning, construction model (Bert, Roberta, Distilbert, XLNet, Albert, GPT, GPT2), quality measurement training and finally visualization of your results on several dataset (20newsgroups,SST-2,PubMed_20k_RCT).</p>
+<p>Designing your neural network to natural language processing. Deep learning has been used extensively in natural language processing (NLP) because it is well suited for learning the complex underlying structure of a sentence and semantic proximity of various words. Data cleaning
+, construction model (Bert, Roberta, Distilbert, XLNet, Albert, GPT, GPT2), quality measurement training and finally visualization
+of your results on several dataset ( 20newsgroups, SST-2, PubMed_20k_RCT, DBPedia, Amazon Review Full, Amazon Review Polarity)..</p>
 </div>
 <div class="section" id="classes">
 <h1>Classes<a class="headerlink" href="#classes" title="Permalink to this headline">¶</a></h1>

diff --git a/docs/_build/html/searchindex.js b/docs/_build/html/searchindex.js
diff --git a/docs/index.rst b/docs/index.rst
@@ -2,7 +2,9 @@
 Simple Documentation Tutorial : Mantéïa
 =======================================
 
-Designing your neural network to natural language processing. Deep learning has been used extensively in natural language processing (NLP) because it is well suited for learning the complex underlying structure of a sentence and semantic proximity of various words. Data cleaning, construction model (Bert, Roberta, Distilbert, XLNet, Albert, GPT, GPT2), quality measurement training and finally visualization of your results on several dataset (20newsgroups,SST-2,PubMed_20k_RCT).
+Designing your neural network to natural language processing. Deep learning has been used extensively in natural language processing (NLP) because it is well suited for learning the complex underlying structure of a sentence and semantic proximity of various words. Data cleaning
+, construction model (Bert, Roberta, Distilbert, XLNet, Albert, GPT, GPT2), quality measurement training and finally visualization
+of your results on several dataset ( 20newsgroups, SST-2, PubMed_20k_RCT, DBPedia, Amazon Review Full, Amazon Review Polarity)..
 
 Classes
 =======