It's a Health Care Portal for paitents and doctor database store using dbms. Lorem ipsum dolor sit, amet consectetur adipisicing elit. Totam odio optio, dolore porro eum nisi ipsam eos mollitia, dicta repudiandae minus sint earum at ut laudantium numquam, dolorem distinctio tenetur.
"Twitter Sentiment Analysis using ML" is a project aimed at harnessing machine learning algorithms to analyze the sentiment expressed in tweets. By leveraging natural language processing techniques, the project seeks to classify tweets as positive, negative, or neutral based on the emotions and opinions conveyed in their content. Through the use of supervised learning models, such as support vector machines or neural networks, the system will be trained on labeled tweet data to accurately predict the sentiment of unseen tweets. The ultimate goal is to provide insights into public opinion trends and sentiment fluctuations on various topics discussed on Twitter, aiding businesses, researchers, and policymakers in making informed decisions.
Hi Everyone My name is "Kamal Chandra" I am a Full Stack Web Developer I
have been Solved LeetCode 100+ problem and Currently I am Pursuing B.tech form
Galgotias University
in Grater Noida U.P India and a full Time Freelancer.
Currently I am
working on NextJs and Making Beautiful UI-UX are my fey features
Lorem ipsum dolor, sit amet consectetur adipisicing elit. Non doloremque aspernatur, maiores voluptatum minus laudantium? Perspiciatis accusamus minima porro dolores necessitatibus, magni dolorem et qui veniam nulla sequi molestiae maxime.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Quis quidem quos ullam veritatis voluptates tenetur qui ipsa nulla culpa itaque?