https://github.com/nemeslaszlo/social-media-analysis-based-on-covid-19-with-sentiment-analysis-ner-and-information-extraction
This repository contains the social media data scraper and the notebooks of this analysis. Where we analise the Social Media posts - tweets with Sentiment Analysis then we analyse this results with Named Entity Recognition (NER) and Information Extraction methods to get a more accurate and detailed picture of this sentiment results.
https://github.com/nemeslaszlo/social-media-analysis-based-on-covid-19-with-sentiment-analysis-ner-and-information-extraction
bert data-science data-visualization information-extraction keras named-entity-recognition nltk reccurent-neural-network tensorflow textblob
Last synced: 3 months ago
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This repository contains the social media data scraper and the notebooks of this analysis. Where we analise the Social Media posts - tweets with Sentiment Analysis then we analyse this results with Named Entity Recognition (NER) and Information Extraction methods to get a more accurate and detailed picture of this sentiment results.
- Host: GitHub
- URL: https://github.com/nemeslaszlo/social-media-analysis-based-on-covid-19-with-sentiment-analysis-ner-and-information-extraction
- Owner: NemesLaszlo
- Created: 2021-07-14T18:43:39.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-09-03T19:07:39.000Z (about 4 years ago)
- Last Synced: 2025-04-01T21:15:16.061Z (7 months ago)
- Topics: bert, data-science, data-visualization, information-extraction, keras, named-entity-recognition, nltk, reccurent-neural-network, tensorflow, textblob
- Language: Jupyter Notebook
- Homepage:
- Size: 33.1 MB
- Stars: 6
- Watchers: 1
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md