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Empower online spaces with TextSecureAI – an innovative Cyberbullying Detection project. Utilizing advanced sentiment analysis, Naive Bayes, and SVM, this system ensures swift identification of hate speech on Twitter. Achieving 95% precision, it's a formidable guardian against online toxicity. Join us in creating a safer digital world! 🌐🛡️

Python 100.00%
aiforgood aiforsocialgood cyber-bullying cyber-bullying-detection data-analysis hate-speech-detection hatespeech hatespeech-prevention machine-learning naive-bayes-classifier nlp python sentiment-analysis social-media-analysis social-media-mining svm twitter-sentiment-analysis

textsecureai's Introduction

Hi! 👋

This is Snigdha Bose.

  • I'm working as a Senior Full-Stack Developer 👩‍💻.

  • A computer science engineer 🎓 having experience working in the financial services industry 💸 as a developer, a home automation startup as an android developer and contributed to Kindle 📕 as an ACMS intern.

  • Currently working with NLP (Natural Language Programming) for social media analytics and cyberbullying detection .

  • Know about more of my experiences at : :octocat: My Resume

Connect with me:

linkedin email

Languages and Tools:

android angular angularjs arduino bash bootstrap c cplusplus css3 docker git grafana html5 java javascript jenkins kafka kibana kubernetes matlab mssql mysql nodejs oracle pandas postgresql postman python sass scikit_learn selenium spring typescript unity

textsecureai's People

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