CryptoSentiment is a dataset, which contains sentiment information about cryptocurrency assets, gathered by various online sources, and analyzed by FinBERT sentiment extractor. More specifically, we provide a publicly available dataset containing fine-grained sentiment analysis data (minute-basis) about cryptocurrency market collected by different online sources. CryptoSentiment dataset includes 235,907 sentiment scores for 14 different cryptocurrencies gathered from various online sources such as news articles and social media.This work has been co-financed by the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH - CREATE - IN - NOVATE (projec...
We have investigated processes of analysis, integration, and content generation, taking into conside...
The valuation of cryptocurrencies is important given the increasing significance of this potential a...
In recent years, cryptocurrency technology has become an attractive area for investment due to its t...
With the introduction of Bitcoin back in 2008, the cryptocurrency market has evolved erratically and...
We investigate the public opinion on cryptocurrency on two social media – Twitter (of the U.S. and I...
Due to the significant expansion in the field of social media, sentiment analysis is playing an incr...
The popularity and emergence of digital currency can be attributed to social media as it has a large...
Note: This version simply updates the dataset with a new Readme - Supplementary Material file. T...
Many traders believe in and use Twitter tweets to guide their daily cryptocurrency trading. In this ...
This dataset contains information about various datasets regarding cryptocurrencies and NFTs across ...
The purpose of this thesis is to predict crypto currency value, based on sentimentalanalysis of soci...
We study investor sentiment on a non-classical asset such as cryptocurrency using machine learning m...
We have investigated processes of analysis, integration, and content generation, taking into conside...
The thesis explores the possibility of applying sentiment analysis to Bitcoin exchange rate based on...
Analisis sentiment saat ini banyak di gunakan masyarat sebagai bahan untuk mengetahui pendapat atau ...
We have investigated processes of analysis, integration, and content generation, taking into conside...
The valuation of cryptocurrencies is important given the increasing significance of this potential a...
In recent years, cryptocurrency technology has become an attractive area for investment due to its t...
With the introduction of Bitcoin back in 2008, the cryptocurrency market has evolved erratically and...
We investigate the public opinion on cryptocurrency on two social media – Twitter (of the U.S. and I...
Due to the significant expansion in the field of social media, sentiment analysis is playing an incr...
The popularity and emergence of digital currency can be attributed to social media as it has a large...
Note: This version simply updates the dataset with a new Readme - Supplementary Material file. T...
Many traders believe in and use Twitter tweets to guide their daily cryptocurrency trading. In this ...
This dataset contains information about various datasets regarding cryptocurrencies and NFTs across ...
The purpose of this thesis is to predict crypto currency value, based on sentimentalanalysis of soci...
We study investor sentiment on a non-classical asset such as cryptocurrency using machine learning m...
We have investigated processes of analysis, integration, and content generation, taking into conside...
The thesis explores the possibility of applying sentiment analysis to Bitcoin exchange rate based on...
Analisis sentiment saat ini banyak di gunakan masyarat sebagai bahan untuk mengetahui pendapat atau ...
We have investigated processes of analysis, integration, and content generation, taking into conside...
The valuation of cryptocurrencies is important given the increasing significance of this potential a...
In recent years, cryptocurrency technology has become an attractive area for investment due to its t...