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@@ -52,8 +52,7 @@ We have chosen to diversify the data sources we used depending on the type of da
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| Text | [here](https://drive.google.com/file/d/1bbbn8kSBmcVObafdzAQEipRBc4SVqwtb/view?usp=sharing) | [X-train](https://drive.google.com/file/d/1sgxv40PkrzxqFCfoaVGyTxpSMvgzRyyx/view?usp=sharing) [y-train](https://drive.google.com/file/d/1iL4N_k2501fGb6WiDLECvDQaJrCVzOjV/view?usp=sharing) [X-test](https://drive.google.com/file/d/1ez38Be4__hA0quIrcLkiSl_zAl_HXktL/view?usp=sharing) [y-test](https://drive.google.com/file/d/1G0Tm9Vq5UoJcdQw0q11xgV4dnrP8JiPI/view?usp=sharing) | [Weights](https://drive.google.com/file/d/1XpFAMykCdmphzMw9umS21f8ITf5QwVRg/view?usp=sharing) [Model](https://drive.google.com/file/d/1mXn3poSmg0chYGXKNB7gjFl50E10kuU2/view?usp=sharing) | --- | --- |
| Audio | [here](https://drive.google.com/file/d/1OL2Kx9dPdeZWoue6ofHcUNs5jwpfh4Fc/view?usp=sharing) | [X-train](https://drive.google.com/file/d/1qv-y0FhaRy5Np8DF3a8Xty8xLvvv4QH4/view?usp=sharing) [y-train](https://drive.google.com/file/d/1y5j43I09Xe6RHK8BsHP8_ZNkUuTehhgY/view?usp=sharing) [X-test](https://drive.google.com/file/d/1MN1Fxc_sDR1ZDQmPdFMwlnhP4qn9d8bT/view?usp=sharing) [y-test](https://drive.google.com/file/d/1ovvCXumkEP1oLxErgMgyIg1Z1Eih430W/view?usp=sharing)| [Weights](https://drive.google.com/file/d/1pQ5QahXJ3dPDXhyPkQ7rS1fOHWKHcIdX/view?usp=sharing) [Model](https://drive.google.com/file/d/1TuKN2PbFvoClaobL3aOW1KmA0e2eEc-O/view?usp=sharing) | [Colab Notebook](https://colab.research.google.com/drive/1EY8m7uj3BzU-OsjAPGBqoapw1OSUHhum) | --- |
| Video | [here](https://drive.google.com/file/d/1hWqVdOYNvCuioiDk-CBgMtKOgl05aA--/view?usp=sharing) | [X-train](https://drive.google.com/file/d/14xs-0nZNQuuMdtTOwqcJQm_GZ_rTO8mB/view?usp=sharing) [y-train](https://drive.google.com/file/d/1EX5KkPquwpHD9ZKpTxGhk3_RFmVDD8bf/view?usp=sharing) [X-test](https://drive.google.com/file/d/1TFH3kvGDS0iWjqKYo3lZuIu65I9h0LYr/view?usp=sharing) [y-test](https://drive.google.com/file/d/1HTzGc_J4kTQRFvLIvcMQA3mt6PnyNT53/view?usp=sharing) | [Weights](https://drive.google.com/file/d/1-L3LnxVXv4vByg_hqxXMZPvjKSQ12Ycs/view?usp=sharing) [Model](https://drive.google.com/file/d/1_dpHN9L6hsQYzTX2zk9K5JF2CZ1FOcZh/view?usp=sharing) | [Colab Notebook](https://colab.research.google.com/drive/1dV1IvYLV24vXGvyzMFNAA18csu8btV2-) | [Face Detect Model](https://drive.google.com/file/d/18YMrAStwXbN-aPZ45ylNrdAXQQPJx0Hd/view?usp=sharing)
| Ensemble | [here](https://drive.google.com/file/d/1hWqVdOYNvCuioiDk-CBgMtKOgl05aA--/view?usp=sharing) | --- | --- | --- | --- |
| Video | [here](https://drive.google.com/file/d/1hWqVdOYNvCuioiDk-CBgMtKOgl05aA--/view?usp=sharing) | [X-train](https://drive.google.com/file/d/14xs-0nZNQuuMdtTOwqcJQm_GZ_rTO8mB/view?usp=sharing) [y-train](https://drive.google.com/file/d/1EX5KkPquwpHD9ZKpTxGhk3_RFmVDD8bf/view?usp=sharing) [X-test](https://drive.google.com/file/d/1TFH3kvGDS0iWjqKYo3lZuIu65I9h0LYr/view?usp=sharing) [y-test](https://drive.google.com/file/d/1HTzGc_J4kTQRFvLIvcMQA3mt6PnyNT53/view?usp=sharing) | [Weights](https://drive.google.com/file/d/1-L3LnxVXv4vByg_hqxXMZPvjKSQ12Ycs/view?usp=sharing) [Model](https://drive.google.com/file/d/1_dpHN9L6hsQYzTX2zk9K5JF2CZ1FOcZh/view?usp=sharing) | [Colab Notebook](https://colab.research.google.com/drive/1dV1IvYLV24vXGvyzMFNAA18csu8btV2-) | [Face Detect Model](https://drive.google.com/file/d/18YMrAStwXbN-aPZ45ylNrdAXQQPJx0Hd/view?usp=sharing) |
## IV. Methodology
Our aim is to develop a model able to provide a live sentiment analysis with a visual user interface.Therefore, we have decided to separate two types of inputs :