Bitcoin any feedback you can give is also welcome: You can click on a column's header to sort by that column. Never miss a story from Sam Bitcoinwhen you sign up for Medium. Live Sentiment with Sentiment Value Database that holds twitter historical app for training! Tweets about a common topic are grouped into topic clusters. If you want to know more, send me a message or an email! Then at app pit of despair, when the crowd thinks all sentiment lost, fortunes suddenly twitter again?
Never miss a story from Sam Couch , when you sign up for Medium. Blockchain this, ICO that! White cells contain no tweets. In addition, we made sure to differentiate between strong and weak signals. Together with an api, so you can use that for your own calculations as well: Ever notice how things in crypto get really exciting, people start making crazy predictions, and suddenly at its highest point, everything turns for the worst?
Time to visualize that data on the app Secondly, some words are more positive than other words. Can you spot the sentiment with this approach? BitcoinSentiment Hello Everyone, Inwe noticed that Bitcoin had the highest twitter return among all the currencies in the World! Many questions, and some of the problems are not tackled bitcoin.
Hover the mouse over a bar to see how many tweets were posted at the given time. Tweets are drawn on a map of the world at the location where they were posted. Please note most Twitter users do not provide their location, so only a few tweets will be shown on the map. Frequent tweets, people, hashtags, and URLs are drawn in a graph to show important actors in the tweet set, and any relationship or affinity they have to one another.
Hover your mouse over a node, or click on a node to see its tweets. Selecting a anchor tweet of interest from the tweet list displays a time-ordered sequence of tweets that form conversations or narrative threads passing through the anchor tweet. Hover your mouse over a node or click on it to see its text. Hover your mouse over a link to see all threads that pass through the link, or click on it to see the tweets in each thread.
Tweets are listed to show their date, author, pleasure, arousal, and text. You can click on a column's header to sort by that column. Zooming To zoom in on the tweets in the Sentiment and Topic tabs, click the zoom icon to the right of the Query button. This displays a zoom lens that you can move around the visualization.
Keywords You can query multiple keywords at once, and combine keywords in different ways. For example, to search for tweets with the words "cat" and "dog", enter: To search for tweets with the words "cat" or "dog", enter: Above the cut-off point, you should consider buying Bitcoins and below the second cut-off point, you should consider selling Bitcoins.
The following graphs are the result of running the described algorithm:. I intentionally left out some important details for obtaining the results since I sell this piece of software. If we look at the results, we can see the obtained sentiment in the top figure. There are clearly some local optima in the plot. There are many possible improvements.
For example, we could apply the sentiment analysis on other keywords and check out whether it has predictive powers for other stocks. The manual evaluation of the cut-off point could easily be automated.
Furthermore, maybe there are some hidden signals which could be found by a machine learning algorithm. If you have any other improvements or suggestions, please let me know! If you have any questions or if you would like access to the datasources, please send in a comment below the post! He is passionate about any project that involves large amounts of data and statistical data analysis. Kevin can be reached using Twitter kmjjacobs , LinkedIn or via e-mail: Bitcoin Resources Jeremy D. Cryptocurrency twitter sentiment analysis self.
I wrote a cryptocurrency twitter sentiment analysis tool I use for trading, but I'm about to go on a holiday for a month, and thus making it public for a while! It's connected to the google language api and does some weighting and correlation. If you want to know more, send me a message or an email! Looks tight, but I guess we can't really say anything about it if we don't know how the numbers are calculated, or how they relate to price.
Anyway, thanks for sharing! Funny, I'm currently working on the same thing for Reddit. I was going to build out Twitter next, actually. Work in progress, of course: Sentanalysis got featured on HN yesterday, two queries weren't implemented properly and caused problems with the docker container, but it definitely shows that there's interest in this subject: Right now I'm relying for a big part on the google language api and it costs me about 25 dollars per day to get proper sentiment of curated tweets, so I'm not sure if I'll keep it live: But I'm definitely interested in discussing it further!
Not for the hosting, but the language api usage, I do about 25k requests per day asking google what it thinks about a tweet: I found it works really well in determining sentiment. Anyway worst-case scenario, I'll just curate the tweets better and only release a daily sentiment analyzing the top tweet or something: Have you considered batching them in groups of 1 or 5 minute intervals?
Might save you some dough. I'm using Node Sentiment. Very performant and quick to set up, although I'm not sure how it compares to the language API. Hey this is cool. I was working on a similar idea but just using some specific but very active crypto forums, like the Poloniex trollbox. How are you doing the scraping though?
20 Sep The site places each of their tweets into their respective categories and tallies up the positive tweets and negative tweets, with a graph that shows sentiment in real time. Roma built the app on wearebeachhouse.com and Meteor. Sygnals is plugged into Twitter's API and scrapes it for tweets with the word “Bitcoin” in them. Slack Live Chat · I already have an account (Login). Rules. Be excellent to each other. You are expected to treat everyone with a certain level of respect. Discussion should relate to bitcoin trading. Altcoin discussion should be directed to our Slack Group or the appropriate subreddit. No memes or low effort. Type a keyword into the input field, then click the Query button. Recent tweets that contain your keyword are pulled from Twitter and visualized in the Sentiment tab as circles. Hover your mouse over a tweet or click on it to see its text. Words highlighted in bold blue italics or bold orange italics are the words being used to .