Cyntwikip/COVID-Tweet-Sentiment-Analysis

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.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced: 2 months ago - Pushed: about 3 years ago - Stars: 2 - Forks: 1

symblai/Symbl-powered-Agora-RTE-app

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.

Language: TypeScript - Size: 13 MB - Last synced: about 2 months ago - Pushed: over 2 years ago - Stars: 12 - Forks: 13

symblai/symbl-python-sdk

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.

Language: Python - Size: 151 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 13 - Forks: 7

nafisalawalidris/Google-Play-Store-Apps-and-Reviews

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.

Language: HTML - Size: 2.89 MB - Last synced: 8 months ago - Pushed: 12 months ago - Stars: 2 - Forks: 0

manahilfatima31/Sentiment-Analysis

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.

Language: Jupyter Notebook - Size: 797 KB - Last synced: 8 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

priyansh17/BrainRelief

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 share their emotions easily with others who are depressed. we aim to ulift their emotions and make world a better place for them.

Language: Python - Size: 32.7 MB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 8 - Forks: 3

iblancasa/manuel-bartual 📦

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

Language: Python - Size: 383 KB - Last synced: about 1 year ago - Pushed: over 6 years ago - Stars: 16 - Forks: 1

symblai/mapping-sentiments-to-emojis

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.

Language: JavaScript - Size: 5.86 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

quocthang0507/GetShopeeReviews

Language: Python - Size: 66.2 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 1

TapanManu/Keyword-Extractor-NLP

Sample Keyword Extractor Mechanism using NLTK Toolkit

Language: Jupyter Notebook - Size: 9.88 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

lzy-106/reci.tech

Helping actors recite scripts expressively w the help of AI

Language: JavaScript - Size: 5.82 MB - Last synced: 10 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

c0reyes/TextMiningGUI

Text Mining and Analysis with Biplots.

Language: R - Size: 2.27 MB - Last synced: 6 months ago - Pushed: about 3 years ago - Stars: 3 - Forks: 0

thedatanecdotes/FarmersProtest

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.

Language: Jupyter Notebook - Size: 3.65 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

MAISHACKS2020/Hackathon

Hackathon organized by McGill AI Society

Language: Jupyter Notebook - Size: 273 KB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 1

mrlydv/Twitter_sentiment_analysis

Classification of tweets into racial or sexist tweets and normal tweets using different classification algorithms and different word embeddings.

Language: Jupyter Notebook - Size: 2.13 MB - Last synced: about 1 year ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

Mcamin/Berlin-Airbnb-19-20

Descriptive analysis of Airbnb data from Berlin 2019/2020

Language: HTML - Size: 64.7 MB - Last synced: about 1 year ago - Pushed: over 4 years ago - Stars: 0 - Forks: 2

udipbohara/Gov-cuomo

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

Language: Jupyter Notebook - Size: 61.4 MB - Last synced: 12 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

taimoortanweer1/CSharp-Projects

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

Size: 111 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0