search

abhisheks008 / DL-Simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
https://quine.sh/repo/abhisheks008-DL-Simplified-499023976
MIT License
390 stars 338 forks source link

Research Topic Prediction using DL #986

Closed SimranShaikh20 closed 4 days ago

SimranShaikh20 commented 4 days ago

Key points - A research-topic prediction model transforms how researchers access and discover knowledge, enabling rapid, relevant insights and fostering interdisciplinary innovation.

Problem Statement Researchers have access to large online archives of scientific articles. As a consequence, finding relevant articles has become more difficult. Tagging or topic modelling provides a way to give token of identification to research articles which facilitates recommendation and search process.

Given the abstract and title for a set of research articles, predict the topics for each article included in the test set. The research article abstracts and titles will sourced from the following 6 topics:

The goal is to build a model that can predict topics for each article. Each article is represented by its title and abstract, and the model should classify it into one or more relevant topics from a predefined set of six fields.

Computer Science Physics Mathematics Statistics Quantitative Biology Quantitative Finance

@abhisheks008 assign me this issue !

github-actions[bot] commented 4 days ago

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

abhisheks008 commented 4 days ago

What are the deep learning models you are planning to perform here? @SimranShaikh20

SimranShaikh20 commented 4 days ago

@abhisheks008 model name - MultiOutputClassifier with a LinearSVC MultiOutputClassifier: This is a wrapper that allows you to fit one classifier (in this case, LinearSVC) for each output label. It essentially creates a separate instance of the classifier for each label you want to predict.

LinearSVC: This is a linear Support Vector Classifier that is used for classification tasks. It finds the optimal hyperplane that separates the classes in the feature space.

abhisheks008 commented 4 days ago

Push the code ASAP for review. @SimranShaikh20

SimranShaikh20 commented 4 days ago

yeah sure

abhisheks008 commented 4 days ago

yeah sure

Updated the issue/project folder name. Please follow the same

SimranShaikh20 commented 4 days ago

yeah sure

Updated the issue/project folder name. Please follow the same

yeah i will make sure about it

can you pls share you email id for further communication ?

abhisheks008 commented 4 days ago

yeah sure

Updated the issue/project folder name. Please follow the same

yeah i will make sure about it

can you pls share you email id for further communication ?

It's there in my GitHub profile.

github-actions[bot] commented 4 days ago

Hello @SimranShaikh20! Your issue #986 has been closed. Thank you for your contribution!