Update method/Readme.md

method/Readme.md

@@ -108,7 +108,7 @@ We utilize Google BigQuery to extract Ethereum's blockchain data, including time
 <p>For varying periods <code>$k$</code>, the regressor variable for the preceding <code>$k$</code> data points is collected into a list, forming the feature set <code>$X$</code>. The variable <code>$Y$</code> corresponds precisely to the prediction variable for the data point at time <code>$t$</code>.</p>
 
 #### Off-chain data
-Another dataset is users' discussion text from Discord. Discord hosts vibrant crypto discussions ranging from market analysis to technical debates, yet remains underexplored for sentiment analysis, unlike platforms like Twitter and Reddit, where extensive studies in cryptocurrency sentiment research exist \cite{kraaijeveld2020predictive,mohapatra2019kryptooracle,khan2022business}. We focus on critical communities such as Binance, Uniswap, and the Ethereum Dev channels on Discord. These are the communities for the largest centralized exchange, decentralized exchanges, and Ethereum developers, respectively. Analyzing sentiments from these communities, which influence Ethereum's network activity and gas usage through trading dynamics and developer engagement, provides crucial insights for predicting future gas demand and formulating effective network management strategies. The discussion texts are queries from Discord using the DiscordChatExporter, an open-source tool on GitHub.
+We focused our analysis on key communities within the blockchain ecosystem, specifically targeting the Binance, Uniswap, and Ethereum Dev channels on Discord. These communities represent major segments of the industry: Binance as the largest centralized exchange, Uniswap as a leading decentralized exchange, and Ethereum Dev as a hub for Ethereum developers. Our data collection involved querying the discussion text from the "general" channels of these three communities.We query all the discussion data of the selected channels, starting from the establish date of each channel until April 2, 2024. After aggregating the text data, we compiled a total of 728863 individual discussion entries. 
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