private void button2_Click(object sender, EventArgs e)
{
Cursor.Current = Cursors.WaitCursor;
string filePath = Path.Combine(Directory.GetCurrentDirectory(), "politicsNews .txt");
string politicsText = File.ReadAllText(filePath);
wordmap wm = new wordmap();
List <string> prepVerbList = wm.GetprepVerbList();
label2.Text = "loading preposition and verb files ...";
politicsText = wm.normalize(politicsText);
label2.Text = "normalizing text ...";
Dictionary <string, int> sentences = wm.GetSentences(politicsText);
label2.Text = "tokenizing sentences ...";
dataGridView1.Rows.Clear();
dataGridView1.Columns.Clear();
dataGridView1.Columns.Add("Values", "ID");
dataGridView1.Columns.Add("Key", "SENTENCE");
foreach (KeyValuePair <string, int> item in sentences)
{
dataGridView1.Rows.Add(item.Value, item.Key);
}
label2.Text = "displaying sentences in datagridview ...";
string[] words = wm.tokenize(politicsText);
label2.Text = "tokenizing text ...";
Dictionary <string, int> wordCount = wm.CalcWordCount(words);
label2.Text = "lemmatizing and counting words frequencies ...";
wordCount = wm.deletePrepVerb(prepVerbList, wordCount);
label2.Text = "deleting preposition and verb from words ...";
var items = from pair in wordCount
orderby pair.Value descending
select pair;
dataGridView2.Rows.Clear();
dataGridView2.Columns.Clear();
dataGridView2.Columns.Add("Key", "WORD");
dataGridView2.Columns.Add("Values", "COUNT");
foreach (var kvp in items)
{
dataGridView2.Rows.Add(kvp.Key, kvp.Value);
}
label2.Text = "displaying wordCount in datagridview ...";
pictureBox1.Image = wm.getImageWordmap(wordCount, pictureBox1.Width, pictureBox1.Height);
label2.Text = "displaying wordmap ...";
label2.Text = "done";
}
private void button3_Click(object sender, EventArgs e)
{
Cursor.Current = Cursors.WaitCursor;
string filePath = Path.Combine(Directory.GetCurrentDirectory(), "sportsNews.txt");
string sportsText = File.ReadAllText(filePath);
wordmap wm = new wordmap();
List <string> prepVerbList = wm.GetprepVerbList();
label2.Text = "loading preposition and verb files ...";
sportsText = wm.normalize(sportsText);
label2.Text = "normalizing text ...";
string[] words = wm.tokenize(sportsText);
label2.Text = "tokenizing text ...";
Dictionary <string, int> SportswordCount = wm.CalcWordCount(words);
label2.Text = "lemmatizing and counting words frequencies ...";
SportswordCount = wm.deletePrepVerb(prepVerbList, SportswordCount);
label2.Text = "deleting preposition and verb from words ...";
filePath = Path.Combine(Directory.GetCurrentDirectory(), "politicsNews .txt");
string politicsText = File.ReadAllText(filePath);
politicsText = wm.normalize(politicsText);
label2.Text = "normalizing text ...";
words = wm.tokenize(politicsText);
label2.Text = "tokenizing text ...";
Dictionary <string, int> PoliticswordCount = wm.CalcWordCount(words);
label2.Text = "lemmatizing and counting words frequencies ...";
PoliticswordCount = wm.deletePrepVerb(prepVerbList, PoliticswordCount);
label2.Text = "deleting preposition and verb from words ...";
decimal totalsportsWordCount = (decimal)SportswordCount.Sum(x => x.Value);
decimal totalpoliticsWordCount = (decimal)PoliticswordCount.Sum(x => x.Value);
List <string> AllWord = new List <string>();
List <string> sportsWordList = new List <string>();
List <string> politicsWordList = new List <string>();
sportsWordList = SportswordCount.Keys.ToList();
politicsWordList = PoliticswordCount.Keys.ToList();
AllWord = sportsWordList.Union(politicsWordList).ToList();
DataTable Allword = new DataTable();
Allword.Columns.Add("word", typeof(string));
Allword.Columns.Add("SportsCount", typeof(decimal));
Allword.Columns.Add("PoliticsCount", typeof(decimal));
Allword.Columns.Add("Distance", typeof(decimal));
foreach (string word in AllWord)
{
decimal sportValue;
decimal politicsValue;
if (SportswordCount.ContainsKey(word))
{
sportValue = (decimal)SportswordCount[word];
}
else
{
sportValue = 0;
}
if (PoliticswordCount.ContainsKey(word))
{
politicsValue = (decimal)PoliticswordCount[word];
}
else
{
politicsValue = 0;
}
decimal distance = (sportValue / totalsportsWordCount) - (politicsValue / totalpoliticsWordCount);
Allword.Rows.Add(word, sportValue, politicsValue, distance);
}
dataGridView1.Rows.Clear();
dataGridView1.Columns.Clear();
Allword.DefaultView.Sort = "Distance DESC";
Allword = Allword.DefaultView.ToTable();
dataGridView1.DataSource = Allword;
List <string> wordslist = new List <string>();
List <int> frequencylist = new List <int>();
for (int i = 0; i < Allword.Rows.Count; i++)
{
wordslist.Add(Allword.Rows[i]["word"].ToString());
frequencylist.Add((int)(Math.Abs(Convert.ToDecimal(Allword.Rows[i]["Distance"].ToString()) * 10000)));
}
//create word cloud generation
var wc = new WordCloudGen(pictureBox1.Width, pictureBox1.Height);
// display wordmap image of sports news
Image newImage = wc.Draw(wordslist, frequencylist);
pictureBox1.Image = newImage;
label2.Text = "done";
}
