Build an app with Agora's Real-Time Engagement App Builder so you can add to your calls, meetings, or conferences transcripts and transcription, live captions and live captioning, contextual AI insight such as action-items, follow-ups & questions, vastly enhancing your real-time engagements.

Analyze the reactions of the Twitter users about the Manuel Bartual Twitter's thread

Symbl.ai's Python SDK runs in real-time to deliver continuous intelligence over conversation data for sentiments, action-items, follow-ups, questions, or personalized intents. In addition, you can transcribe calls into transcripts.

This project focuses on sentiment analysis of customer reviews on the Flipkart e-commerce platform. Leveraging natural language processing (NLP) and machine learning algorithms, we aim to extract valuable insights into user sentiments, providing a comprehensive understanding of their experiences and preferences.

The App aims at helping people to fight from depression and communicate with them at a 1-1 basis alongside giving them suggestions based on their choices which will be taken from the user in various formats such as MCQ for a one time basis and Diary entries of user on a daily basis. The app aims to help mainly people who are introvert and don't …

Perform a comprehensive analysis of over 10,000 Android apps in the Google Play Store. Explore app categories, user reviews, and sentiments. Gain insights to drive growth and retention strategies.

Text Mining and Analysis with Biplots.

Sentiment Analysis on COVID in the Philippines. I was working together with the Economic Research and Regional Cooperation Department (ERCD) in ADB for this project.

edx : HarvardX: PH125.6x Data Science: Wrangling - Text Mining

A sentiment analysis of tweets and news websites was performed to get an idea of what people who are for and against the movement are saying.

The following demo shows you how to track polarity scores on messages, mapping those scores to a emojis. The end of the call displays an overall result.

This Repository contains all the C# .Net Related Projects. Some of them were at there deployment stages.

Sample Keyword Extractor Mechanism using NLTK Toolkit

analyzing sentiments of tweets mentioning Gov Cuomo during Covid-19 pandemic

Descriptive analysis of Airbnb data from Berlin 2019/2020

We picked up a data from Kaggle regarding musical instrument review. We applied Machine Learning algorithms to extract meaningful data that concludes sentiment of consumer.

Comprehensive Approach to Stock Market Prediction using Real-Time Social Media Analysis, Volume & Open Interest, and Market Depth Analysis

Project for study about sentiment analysis on tweets using Naive Bayes

Hackathon organized by McGill AI Society