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Anas436/Detecting-Fake-News-AI

Domaine:

natural language processing
Créateur:
Ana
Hôte:
Detecting Fake News Using AI in Liberia # Liberia fake News detection Use this Repository as a template for creating Local Chapter Repositories ## Project background ## The problem ## Project goals ## Contribution Guidelines - Have a Look at the project structure and folder overview below to understand where to store/upload your contribution - If you're creating a task, Go to the task folder and create a new folder with the below naming convention and add a README.md with task details and goals to help other contributors understand - Task Folder Naming Convention : _task-n-taskname.(n is the task number)_ ex: task-1-data-analysis, task-2-model-deployment etc. - Create a README.md with a table containing information table about all contributions for the task. - If you're contributing for a task, please make sure to store in relavant location and update the README.md information table with your contribution details. - Make sure your File names(jupyter notebooks, python files, data sheet file names etc) has proper naming to help others in easily identifing them. - Please restrict yourself from creating unnessesary folders other than in 'tasks' folder (as above mentioned naming convention) to avoid confusion. ## Project Structure ├── LICENSE ├── README.md <- The top-level README for developers/collaborators using this project. ├── original <- Original Source Code of the challenge hosted by omdena. Can be used as a reference code for the current project goal. │  │ ├── reports <- Folder containing the final reports/results of this project │   └── README.md <- Details about final reports and analysis │  │   ├── src <- Source code folder for this project │ ├── data <- Datasets used and collected for this project │ ├── docs <- Folder for Task documentations, Meeting Presentations and task Workflow Documents and Diagrams. │ ├── references <- Data dictionaries, manuals, and all other explanatory references used │ ├── tasks < …