public static void AnalyzeEverything(List <BoardOrder> orders)
{
var client = LanguageServiceClient.Create();
var responses = new List <AnnotateTextResponse>();
var truncatedOrders = new List <BoardOrder>();
//Truncate orders with text exceeding the size limit.
foreach (var order in orders.ToList())
{
if (order.Text.Length > 60000)
{
var splitText = order.Text.SplitByLength(60000);
foreach (var text in splitText)
{
truncatedOrders.Add(new BoardOrder()
{
Path = order.Path,
Text = text,
});
}
orders.Remove(order);
continue;
}
}
orders.AddRange(truncatedOrders);
// Get text from each order and run through the api
foreach (var order in orders)
{
var response = client.AnnotateText(new Document()
{
//Removed new lines to get better output
Content = order.Text.Replace("\r\n", " "),
Type = Document.Types.Type.PlainText
}, new Features()
{
ExtractSyntax = true,
ExtractDocumentSentiment = true,
ExtractEntities = true,
ExtractEntitySentiment = true,
ClassifyText = true
});
order.SetResponse(response);
}
// save response
NLPDatabase.SaveResponses(orders, _connString);
return;
}
public static void Main(string[] args)
{
// Before running through Google NLP api, I stored the board order text in a database in the board order table referenced in the db calls
//Get order text and anazlyze
var orders = NLPDatabase.GetBoardOrdersText(_connString);
// Run through Google NLP api, save response in database in a Google table
AnalyzeEverything(orders);
////Write sentences to output file
//var responses = NLPDatabase.GetResponses( _connString);
//responses = responses.Where(r => !r.Path.Contains("Sexual")).ToList();
//ExtractSentences(responses, _spath);
Console.Write("\nPress any key to continue...");
Console.ReadKey();
}