Topic: clickbait-detection Goto Github
Some thing interesting about clickbait-detection
Some thing interesting about clickbait-detection
clickbait-detection,Automatically detect clickbait Youtube videos from their title with a 96% F1 Score
User: alessiovierti
clickbait-detection,This is the first project of the ML-Ops Dicoding class. This project serves to classify whether a title is included in the clickbait category or not.
User: anashaneef
clickbait-detection,Advanced clickbait detection system using cognitive evidences and ensemble learning
User: atharva21-stack
clickbait-detection,This chrome extension would work as user interface by following stance/clickbait detection of Internet news
Organization: chimera-detector
Home Page: https://github.com/chimera-detector/Server
clickbait-detection,This chrome extension would work as Server by following Chrome Extension User Interface
Organization: chimera-detector
Home Page: https://github.com/chimera-detector/Extension
clickbait-detection,Using Google Vision API this project will output the most frequent objects that show up inside a given video along with the adult likelihood ratings of the content. This was part of the development of the clickbait detection chrome extension tool that was undertaken at SLO Hacks.
User: jhundal2021
clickbait-detection,Click Bait Detection Algorithm
User: miguelglopes
clickbait-detection,Clickbait detector for English tweets, trained on Webis-17 dataset
User: mmaguero
clickbait-detection,ClickBaitNews Classification And Generate News Title
User: power-ty
clickbait-detection,A multimodal deep learning approach that anticipates the clickbait nature through the text and images uploaded on social media. Text Classifiers + Word Embedding || Image Classifier (VGG Network)
User: pradeep23-01
clickbait-detection,Project on YouTube regarding predicting clickbait and metadata
User: prenio
clickbait-detection,A click bait classifier notebook developed using LSTM. The notebook showcases the analysis on Click bait heading data and a neural network to classify Heading as click bait. The model accuracy is 96%+.
User: ritvikdayal
clickbait-detection,Practice projects from Udacity's LLMOps course.
User: sachs7
clickbait-detection,A web application which suggests user non-clickbait video on YouTube s. Easy to use.
User: samadpls
Home Page: https://yotubeclickbaitdetector.streamlit.app/
clickbait-detection,Detects clickbait using two-phase CNN-LSTM Bi-term model. At first phase, hybrid CNN-LSTM model is used to accurately detect the fed short text as clickbait or not. At second phase, Biterm model is combined with the clickbait headline retrieved from the previous phase to classigy the type of clickbait (reasoning, number, reaction, revealing, shocking/unbelievable, hypothesis/guess, questionable, forward referencing)
User: sawinderkaurvohra
Home Page: https://clickbait.isitfake.co.in
clickbait-detection,A clickbait detection system.
User: vaibhav4595
clickbait-detection,[CSCWD'23] Detecting Clickbait in Chinese Social Media by Prompt Learning
User: weseewy
clickbait-detection,Aplikasi ini dibuat untuk membantu pengguna dalam menentukan apakah sebuah berita yang ingin dibaca termasuk clickbait atau bukan.
User: yaya-1302
clickbait-detection,A Naive Bayes classifier to detect clickbait headlines
User: zoobereq
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