private async Task ReactWithSentiment([NotNull] IUserMessage message, SentimentResult?score = null)
{
var result = score ?? await _sentiment.Predict(message.Content);
if (result.ClassificationScore < _config.CertaintyThreshold)
{
await message.AddReactionAsync(EmojiLookup.Confused);
}
switch (result.Classification)
{
case Services.Sentiment.Positive:
await message.AddReactionAsync(EmojiLookup.ThumbsUp);
break;
case Services.Sentiment.Neutral:
await message.AddReactionAsync(EmojiLookup.Expressionless);
break;
case Services.Sentiment.Negative:
await message.AddReactionAsync(EmojiLookup.ThumbsDown);
break;
}
}
async Task BroadcastTweet(ITweet iTweet, bool isOffTopic)
{
if (iTweet is null)
{
return;
}
// If twitter thinks this might be sensitive
// Let's check out its sentiment with machine learning...
if (iTweet.PossiblySensitive)
{
var prediction = _sentimentService.Predict(iTweet.Text);
if (prediction?.Percentage < 50)
{
return;
}
}
var tweet = await iTweet.GenerateOEmbedTweetAsync();
if (tweet is null)
{
return;
}
await _hubContext.Clients.All.TweetReceived(
new TweetResult
{
IsOffTopic = isOffTopic,
AuthorName = tweet.AuthorName,
AuthorURL = tweet.AuthorURL,
CacheAge = tweet.CacheAge,
Height = tweet.Height,
HTML = tweet.HTML,
ProviderURL = tweet.ProviderURL,
Type = tweet.Type,
URL = tweet.URL,
Version = tweet.Version,
Width = tweet.Width,
CreateAt = iTweet.CreatedAt
});
}
