private async void button2_Click(object sender, EventArgs e)
{
var res = _intermediateTextContainer;
// define and remove 'operator' words
var operator_words = new[]
{
"და",
"რომ",
"არ",
"წლის",
"შემდეგ",
"კი",
"თმცა",
"ამ",
"ეს",
"მისი",
"რომელიც",
"უნდა",
"რაც",
"მაგრამ",
"მას",
"ის",
"როგორც",
"ვერ",
"თუ",
"მხოლოდ",
"თუმცა",
"იყო",
"ძალიან",
"აქვს",
"რა",
"ამის",
"უფრო",
"იმ",
"ასე",
"ასეთი",
"ან"
};
foreach (var item in operator_words)
{
string pattern = @"\b" + item + @"\b"; // replace whole word only
res = Regex.Replace(res, pattern, string.Empty);
}
var punctuation = new[]
{
".",
",",
":",
"!",
"?",
"%",
"(",
")",
"=",
"-",
};
foreach (var item in punctuation)
{
res = res.Replace(item, string.Empty);
}
var result = res.Split(new[] { " " }, StringSplitOptions.RemoveEmptyEntries)
.GroupBy(r => r)
.Select(grp => new Word
{
WordName = grp.Key,
Occurence = grp.Count()
}).OrderByDescending(b => b.Occurence).ToList();
// remove those words that have occurence = 1, since they cannot influence the ML algorithm in a positive way.
//TODO: for the rest of the words, make sure they are distributed in at least 2 articles.
result = result.Where(a => a.Occurence > 1).ToList();
// remove newline chars
result = result.Where(a => !a.WordName.Equals("\n") && !a.WordName.Equals(" ")).ToList();
result = result.Skip(1).ToList();
dataGridView1.DataSource = result;
_intermediateWordContainer = result;
await MongoDBHandler.SaveWordCollection(result);
}
