Esempio n. 1
0
        public string[] FindKeyPhrases(string inputText)
        {
            string[] tokens  = Tokenize(inputText);
            string[] phrases = ToPhrases(tokens);
            WordCooccurrenceMatrix matrix = new WordCooccurrenceMatrix(this.UniqueWordIndex);

            matrix.CompileOccurrences(phrases);
            SortedList <string, WordScore> leagueTable           = matrix.LeagueTable;
            SortedList <string, double>    aggregatedLeagueTable = WordCooccurrenceMatrix.AggregateLeagueTable(leagueTable, phrases);

            int count = (int)Math.Ceiling((double)phrases.Length / (double)3); //Take the top 1/3 of the key phrases

            //TODO: make scoring system configurable (for now, just use the Ratio).
            return(aggregatedLeagueTable.OrderByDescending(x => x.Value).Take(count).Select(x => x.Key).ToArray());
        }
Esempio n. 2
0
        public string[] FindKeyPhrases(string inputText)
        {
            string[] tokens = Tokenize(inputText);
            string[] phrases = ToPhrases(tokens);
            WordCooccurrenceMatrix matrix = new WordCooccurrenceMatrix(this.UniqueWordIndex);
            matrix.CompileOccurrences(phrases);
            SortedList<string, WordScore> leagueTable = matrix.LeagueTable;
            SortedList<string, double> aggregatedLeagueTable = WordCooccurrenceMatrix.AggregateLeagueTable(leagueTable, phrases);

            int count = (int)Math.Ceiling((double)phrases.Length / (double)3); //Take the top 1/3 of the key phrases

            //TODO: make scoring system configurable (for now, just use the Ratio).
            return aggregatedLeagueTable.OrderByDescending(x => x.Value).Take(count).Select(x => x.Key).ToArray();
        }