Hate Speech Detection from Text in C/C++

Hate speech is defined as abusive or threatening speech or writing that expresses prejudice against a particular group, and it is unfortunately something that businesses need to be conscious of when providing a forum for users. By utilizing the following Natural Language Processing API in C/C++, you will be able to analyze English text to determine if it contains hate speech language, allowing you to address any issues that may arise on your platform.

Let’s begin by installing libcurl into our C/C++ project:


Next, we can call the hate speech analysis function:

CURL *curl;
CURLcode res;
curl = curl_easy_init();
if(curl) {
curl_easy_setopt(curl, CURLOPT_CUSTOMREQUEST, "POST");
curl_easy_setopt(curl, CURLOPT_URL, "");
curl_easy_setopt(curl, CURLOPT_FOLLOWLOCATION, 1L);
curl_easy_setopt(curl, CURLOPT_DEFAULT_PROTOCOL, "https");
struct curl_slist *headers = NULL;
headers = curl_slist_append(headers, "Content-Type: application/x-www-form-urlencoded");
headers = curl_slist_append(headers, "Apikey: YOUR-API-KEY-HERE");
curl_easy_setopt(curl, CURLOPT_HTTPHEADER, headers);
const char *data = "TextToAnalyze=%3Cstring%3E";
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, data);
res = curl_easy_perform(curl);

And thats it! This function is easy to use and consumes 1–2 API calls per sentence.

There’s an API for that. Cloudmersive is a leader in Highly Scalable Cloud APIs.