Summary of Analyzing Emotional Trends From X Platform Using Senticnet: a Comparative Analysis with Cryptocurrency Price, by Moein Shahiki Tash et al.
Analyzing Emotional Trends from X platform using SenticNet: A Comparative Analysis with Cryptocurrency Price
by Moein Shahiki Tash, Zahra Ahani, Olga Kolesnikova, Grigori Sidorov
First submitted to arxiv on: 6 May 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel study explores the connection between emotional trends on X platform and market dynamics of prominent cryptocurrencies, including Cardano, Binance, Fantom, Matic, and Ripple, from October 2022 to March 2023. The research utilizes SenticNet to identify emotions like Fear and Anxiety, Rage and Anger, Grief and Sadness, Delight and Pleasantness, Enthusiasm and Eagerness, and Delight and Joy. By segmenting the data into bi-weekly intervals, the study finds significant correlations between emotional sentiments and cryptocurrency prices. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Emotions on social media can affect cryptocurrency prices! This study looks at how people feel about five popular coins (Cardano, Binance, Fantom, Matic, and Ripple) over several months. They used a special tool called SenticNet to find out what emotions people were feeling – like fear or happiness. Then, they compared these feelings to the coin prices and found some surprising connections. |
