public static async Task <List <AzureSentiment> > VaderSentimentAnalytics(Docs json, string score_type, bool stopword)
{
SentimentIntensityAnalyzer analyzer = new SentimentIntensityAnalyzer();
List <AzureSentiment> azureSentiments = new List <AzureSentiment> {
};
foreach (var item in json.documents)
{
string text = item.text;
if (stopword)
{
//if stops words, clean the text.
text = Stopword.cleaner(item.text);
}
var score = analyzer.PolarityScores(text);
var type = new Hashtable {
{ "compound", score.Compound },
{ "neutral", score.Neutral },
{ "positive", score.Positive },
{ "negative", score.Negative }
};
azureSentiments.Add(new AzureSentiment {
id = item.id, score = (double)type[score_type]
});
}
return(azureSentiments.ToList());
}
public ActionResult <IList> PostActualizerKeyPrhases([FromBody] DocsWithTime json, int wordthreshold = 1, bool stopword = false)
{
Docs jsonDoc = JsonSerializer.Deserialize <Docs>(JsonSerializer.Serialize(json));
IList <string> keywordsList;
if (stopword)
{
keywordsList = jsonDoc.documents.Select(s => Stopword.cleaner(s.text)).ToList();
}
else
{
keywordsList = jsonDoc.documents.Select(s => s.text).ToList();
}
List <string> keywordsLake = new List <string> {
};
var keywordArray = String.Join(",", keywordsList).ToLowerInvariant().Split(' ');
foreach (var sentence in keywordArray)
{
var splitSentence = sentence.Split(",").ToArray();
keywordsLake.AddRange(splitSentence);
}
var keywords = keywordsLake.GroupBy(x => x)
.Where(g => g.Count() >= wordthreshold)
.Select(y => new { word = y.Key, count = y.Count() }).OrderBy(o => o.count).Where(w => !string.IsNullOrWhiteSpace(w.word)).ToList();
var srm = _db.SearchResultsMetadata.First();
srm.keywordsExtracted = srm.keywordsExtracted + keywords.Count;
_db.SaveChangesAsync();
return(keywords);
}