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align=\"center\"\u003eSentiment Analysis for E-Commerce\u003c/h1\u003e\n\n\u003cp align=\"center\"\u003e  \n  \u003cimg src=\"https://github.com/isabelleysseric/Sentiment-analysis/blob/main/images/analyse_sentiment_tache1_ex1.png\" alt=\"Sentiment-analysis image\"\n\u003c/p\u003e\n\n\u003ch2 align=\"center\"\u003e    \n\n  \u003c!-- GitHub --\u003e\n  \u003ca href=\"https://github.com/isabelleysseric/\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/GitHub-100000?style=for-the-badge\u0026logo=github\u0026logoColor=white\" \u003e\n  \u003c/a\u003e  \n\n  \u003c!-- Project Repo --\u003e\n  \u003ca href=\"https://github.com/isabelleysseric/Sentiment-analysis/\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/Repo-Sentiment_analysis-green?style=for-the-badge\u0026logo={Sentiment-analysis}\u0026logoColor=white\" \u003e\n  \u003c/a\u003e\n\n  \u003c!-- Wiki Project --\u003e\n  \u003ca href=\"https://github.com/isabelleysseric//Sentiment-analysis/wiki/\"\u003e\n    \u003cimg src=\"https://img.shields.io/badge/Wiki-Sentiment_analysis-green?style=for-the-badge\u0026logo={Sentiment-analysis}\u0026logoColor=white\" \u003e\n  \u003c/a\u003e\u003cbr\u003e\n  \n\u003c/h2\u003e\n\u003cbr\u003e\n\n\n## Team\n- Isabelle Eysseric\n- Nicolas Garde\n- David Poisson\n\u003cbr\u003e\n\u003cbr\u003e\n\n\n## Scenario\n\n\u003cp align='justify'\u003ePyCharm with Python 3.7 was used so that the Spacy library could work properly.\u003c/p\u003e\n\n\u003cp align='justify'\u003eWe wrote 2 methods to convert the sentences: one that writes the dataset with children/head (1h) and the other without (20 minutes).\u003c/p\u003e\n\n\u003cp align='justify'\u003eIn agreement with Professor Luc Lamontagne, to make task 3 go faster, we wrote the converted sentences of the method using the dependency tree of the \u003ci\u003enegation_conversion.py\u003c/i\u003e file in text files.\u003c/p\u003e\n\n\u003cp align='justify'\u003eThese files were produced with the \u003ccode\u003ewrite_negated\u003c/code\u003e method found in the \u003ci\u003esentiment_analysis.py\u003c/i\u003e file. They are stored in the data folder.\u003c/p\u003e\n\n\u003cp align='justify'\u003eAlso, it is necessary to download the NLTK corpus, Sentiwordnet so that the \u003ci\u003esentiment_analyse.py\u003c/i\u003e file can work.\u003c/p\u003e\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n\n## Steps\n( See file *negation_conversion.py* )\n\n- Step 1: Find the scope of the sentence\n- Step 2: Capture the negative scope\n- Step 3: Conversion and reconstruction of the sentence\n\n\u003cbr\u003e\n\u003cbr\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fisabelleysseric%2Fsentiment-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fisabelleysseric%2Fsentiment-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fisabelleysseric%2Fsentiment-analysis/lists"}