SimranAnand1/Empirical-study-and-comparison-of-models-based-on-NLP
This project is based on Sentiment analysis and it leverages NLP to analyze Textual Data consisting of Covid19 Tweets. The project aims to analyze datasets from a social point of view to help understand people's perceptions during the pandemic. It incorporates various machine learning models to classify the tweets and opinions into a segregated class by assigning polarity scores.
No commits in the last 6 months.
Stars
2
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Dec 15, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/SimranAnand1/Empirical-study-and-comparison-of-models-based-on-NLP"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
yunwei37/COVID-19-NLP-vis
使用 flask + pyecharts...
BDBC-KG-NLP/COVID-19-tracker
北航大数据高精尖中心研究团队进行数据来源的整理与获取，利用自然语言处理等技术从已公开全国4626确诊患者轨迹中抽取了基本信息（性别、年龄、常住地、工作、武汉/湖北接触史等）、轨迹（时间、地点、交...
gsarti/covid-papers-browser
Browse Covid-19 & SARS-CoV-2 Scientific Papers with Transformers 🦠 📖
neuml/cord19q
COVID-19 Open Research Dataset (CORD-19) Analysis
theamrzaki/COVID-19-BERT-ResearchPapers-Semantic-Search
BERT semantic search engine for searching literature research papers for coronavirus covid-19 in...