twitter

问题 I'm trying to upload a picture on Twitter from a Mac app, using REST API 1.1 (url: https://api.twitter.com/1.1/statuses/update_with_media.json), but I get always error code 500 and {"errors":[{"message":"Internal error","code":131}]}. If I upload only a tweet (using /update.json) it works fine every time. Here is my code: NSURL *url = [NSURL URLWithString:@"https://api.twitter.com/1.1/statuses/update_with_media.json"]; NSMutableURLRequest *request = [NSMutableURLRequest requestWithURL:url

问题 Closed. This question is off-topic. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 4 years ago . Is mysql license needed for sites like facebook, twitter etc.. i dont know which category they fall into. thats why. 回答1: No, they can use GPL which is freely available. They would need to make Software that links to MySQL like a library or is even based on MySQL GPL, too, but as far as I know, they are not

问题 I'm using this example for pulling tweets from Twitter. I am getting the error below due to rate limit reached. How do I set the rate? 429:Returned in API v1.1 when a request cannot be served due to the application's rate limit having been exhausted for the resource. See Rate Limiting in API v1.1.(https://dev.twitter.com/docs/rate-limiting/1.1) message - Rate limit exceeded code - 88 Relevant discussions can be found on the Internet at: http://www.google.co.jp/search?q=506c3b98 or http://www

问题 # search for a term in twitter rdmTweets <- searchTwitteR("machine learning", n=500, lang="en") dtm.control <- list( tolower = TRUE, removePunctuation = TRUE, removeNumbers = TRUE, removestopWords = TRUE, stemming = TRUE, # false for sentiment wordLengths = c(3, "inf")) # create a dataframe around the results df <- do.call("rbind", lapply(rdmTweets, as.data.frame)) # Here are the columns names(df) # And some example content head(df,10) counts = table(df$screenName) barplot(counts) # Plot the

问题 We have recently released iPhone app which share to fb & tw using UIActivityViewController like as zigzag app on app store. My device is working perfect as my device is used for development. But all users who downloaded this app not able to share using this function. NSString *txtToShare = @"Please try this awesome iOS app"; NSArray *objectsToShare = [NSArray arrayWithObjects:txtToShare, nil]; UIActivityViewController *activityVC = [[UIActivityViewController alloc] initWithActivityItems

问题 Exception while trying to tweet Twitter Login Error , This Exception occurs after the login is done and activity is recalled. if (uri != null && uri.toString().startsWith(TWITTER_CALLBACK_URL)) { // oAuth verifier Log.d("Inside","inside"); String verifier = uri .getQueryParameter(URL_TWITTER_OAUTH_VERIFIER); try { // Get the access token AccessToken accessToken = twitter.getOAuthAccessToken( requestToken, verifier); // Shared Preferences Editor e = mSharedPreferences.edit(); // After getting

问题 Currently, I am using the Twitter streaming API to get realtime tweets for certain keywords. However, I would like to skip tweets that are irrelevant before getting them. With the Search API I can search for "hello -john" so I only get tweets that contain the word hello, but not John or I can search for "hello Maria OR Andrew" so I get only tweets that contain the word hello AND either Maria or Andrew. With the Streaming API, I can only give keywords but is there a way I can use -john or

问题 I streamed tweets using the following code class CustomStreamListener(tweepy.StreamListener): def on_data(self, data): try: with open('brasil.json', 'a') as f: f.write(data) return True except BaseException as e: print("Error on_data: %s" % str(e)) return True Now I have a json file (brasil.json). I want to open it on python to do sentiment analysis but I can't find a way. I managed to open the first tweet using this: with open('brasil.json') as f: for line in f: tweets.append(json.loads(line

问题 I streamed tweets using the following code class CustomStreamListener(tweepy.StreamListener): def on_data(self, data): try: with open('brasil.json', 'a') as f: f.write(data) return True except BaseException as e: print("Error on_data: %s" % str(e)) return True Now I have a json file (brasil.json). I want to open it on python to do sentiment analysis but I can't find a way. I managed to open the first tweet using this: with open('brasil.json') as f: for line in f: tweets.append(json.loads(line

问题 Pulling from a couple of different examples, I've been able to create a simple Python script that parses the JSON output from the Twitter Streaming API, and prints out the screen_name and text for each tweet. I would like to modify my code to also classify each tweet as one of the following: (1) Retweet --> There is an "RT @anyusername" somewhere in the tweet text column (2) Mention --> There is an "@anyusername" but no "RT @anyusername" in the tweet column (3) Tweet --> There is no "RT