Midterm 1 Problem statement Binary classification of text to predict positive / negative reviews. Dataset: http://ai.stanford.edu/~amaas/data/sentiment/ Details · The assignment requires you to build...

Python coding for binary classification of text using any three models


Midterm 1 Problem statement Binary classification of text to predict positive / negative reviews. Dataset: http://ai.stanford.edu/~amaas/data/sentiment/ Details · The assignment requires you to build and evaluate a model of your choice to classify text in the dataset. · Please use at least 3 models in your approach. · Note that the assignment does not have one correct answer, the report will be graded based on approach, interpretation of the results and your comments. · Justification of your approach and critical evaluation of your work is expected. Logistics · Final archive to be uploaded on https://drive.google.com/drive/folders/1hNHd8aAzZu6SEOIWFjL-YhHlUMoQiNVA?usp=sharing. Please rename the archive to match the format, Student1_FN_LN_Student2_FN_LN. · You can develop on any platform and adopt approaches from published work. · Place the work items in the appropriate folders in the archive for the upload. · Code should be legible and well documented with comments. · Include a readme file outlining the platform (and / or language) you chose to develop the project. · You are not allowed to switch languages during the course.