Welcome to the final part of our tutorial on how to create a Markov Chain Twitter Bot in C++! In the previous parts, we introduced the concept of a Markov chain and showed you how to preprocess the input text, build the Markov chain model, and generate tweets using this model. In this part, we will put all the pieces together and show you how to use the Twitter API to post the generated tweets to your account.

To use the Twitter API, you will need to create a Twitter Developer account and obtain your API keys and access tokens. Once you have these, you can use a C++ library such as cpprestsdk or twitcurl to make API requests and post tweets to your account. Here is an example of how you can use cpprestsdk to post a tweet:

#include 
#include 
#include 

using namespace web;
using namespace web::http;
using namespace web::http::client;

void post_tweet(string consumer_key, string consumer_secret, string access_token, string access_token_secret, string tweet) {
  http_client_config config;
  config.set_oauth2(client_credentials(consumer_key, consumer_secret, access_token, access_token_secret));
  http_client client(U("https://api.twitter.com/1.1/"), config);

  json::value request_body;
  request_body["status"] = json::value::string(tweet);

  client.request(methods::POST, U("statuses/update.json"), request_body).then([](http_response response) {
    if (response.status_code() == 200) {
      cout 

To use this function, simply pass your API keys and access tokens as well as the tweet text as arguments. The function will then send a POST request to the statuses/update.json endpoint of the Twitter API to post the tweet to your account.

Now that you know how to use the Twitter API to post tweets, you can combine this with the functions from the previous parts of this tutorial to create a complete Markov Chain Twitter bot. Here is some example code that shows how to do this:

int main() {
  // Load input text
  string input_text = load_text("input.txt");

  // Preprocess input text
  input_text = remove_punctuation(input_text);
  input_text = to_lower(input_text);
  vector tokens = split(input_text);

  // Build Markov chain model
  int n = 2;
  map, map> model = build_model(tokens, n);

  // Generate tweet
  vector context;
  for (int i = 0; i 

This code loads the input text from a file called input.txt, preprocesses it, builds the Markov chain model, generates a tweet using the model and a given context, and then posts the tweet to Twitter using the post_tweet() function from the previous part of this tutorial.

And that’s it! With this code, you should now have a working Markov chain Twitter bot that can generate and post tweets based on a given input text. You can experiment with different input texts and values of n to see how it affects the generated tweets. You can also set up a cron job or similar mechanism to have the bot post tweets automatically at regular intervals.

We hope you found this tutorial helpful and that you now have a better understanding of how to create a Markov chain Twitter bot in C++. Happy tweeting!

• Go to part 1
• Go to part 2
• Go to part 3

The post Creating a Markov Chain Twitter Bot in C++: Part 3 first appeared on upgrade.Codes().