• With the improvement of web technology and its evolution, there is a huge volume of data current in the web for internet users and a lot of data is generated too. Internet has become a platform for online learning, exchanging feelings and sharing opinions.
• Feature extractors and different Machine Learning Classifiers are used here. The unigrams and feature extractors are unigrams, with weighted decisive and pesimisive keywords. A framework is planned that separates feature extractors and classifiers as a pair of components.
• It has been practical that people currently tend to look upon evaluations of products which are available online before they buy them. And for several businesses, the online belief decides the success or failure of their product.
• Thus, Sentiment Analysis plays an significant role in businesses. Businesses also wish to extract sentiment from the connected reviews in order to progress their products and in turn their status and help in customer satisfaction.
• Semantics: The comprehensive sentiment of a tweet is classified by the algorithms. Semantic role labeler can be used which shows which noun is allied with the verb and therefore the classification occurs.
• Twitter provides the way of expressing the views of the users. • Unfortunately, we don’t have the way of filtering the systems in an effective manner. • The reason is, the users filtering and content filtering or else the tweets filtering becomes once of the most challenging option in the current trend.
• No prediction system for tweets sentiments is available in the current trend.
• The need of this system is to avoid spam users and spam tweets.
• In our proposed system, we are trying to extract the sentiments of the tweets in terms of percentage.
• These sentiments are highly used in doing major analytics both psychological and business perspective.
• Many business jargons are looking for the sentiments of the people to go ahead with the business.
• These sentiments are really helpful for the future product enhancements, fixing the existing defects in the systems.
• Our proposed model is not going to work out with a specific field.
• In turn, this project can be used and it can be fit it any kind of Environment.
using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; using twitterlib; namespace TwitterData { public partial class TwitterKey : Form { public TwitterKey() { InitializeComponent(); } twitterlib.twitterlib twitterlib = new twitterlib.twitterlib(); private void button2_Click(object sender, EventArgs e) { textBox1.Text = twitterlib.TwitterConsumerK(); textBox2.Text = twitterlib.TwitterConsumerS(); textBox3.Text = twitterlib.TwitterAT(); textBox4.Text = twitterlib.TwitterATS(); } private void button3_Click(object sender, EventArgs e) { ReadTweetData ReadTwitData = new ReadTweetData(); ReadTwitData.Show(); this.Hide(); } private void button4_Click(object sender, EventArgs e) { richTextBox1.Visible = true; } private void TwitterKey_Load(object sender, EventArgs e) { } } } ReadTweetData.cs using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; using twitterlib; namespace TwitterData { public partial class ReadTweetData : Form { public ReadTweetData() { InitializeComponent(); } twitterlib.twitterlib twitterlib = new twitterlib.twitterlib(); private void button1_Click(object sender, EventArgs e) { richTextBox1.Text = ""; string[] lines = System.IO.File.ReadAllLines(twitterlib.TwitterRT()); foreach (string line in lines) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } string[] val = new string[3]; ; int i = 0; foreach (string str in listBox1.SelectedItems) { val[i] = str; i++; } string st1 = twitterlib._T12_weet_Se_aep112() + val[0] + twitterlib._T12_weet_Se_aaep112() + val[0] + "\")"; string st2 = twitterlib._T12_weet_Se_aep112() + val[1] + twitterlib._T12_weet_Se_aaep112() + val[1] + "\")"; string st3 = twitterlib._T12_weet_Se_aep112() + val[2] + twitterlib._T12_weet_Se_aaep112() + val[2] + "\")"; if ((st1.Length > 0) || (st2.Length > 0) || (st3.Length > 0)) { richTextBox1.Text = richTextBox1.Text + twitterlib.Twittersep() + st1 + twitterlib.Twittersep() + st2 + twitterlib.Twittersep() + st3 + twitterlib.Twittersep(); string[] lines1 = System.IO.File.ReadAllLines(twitterlib._Fl_T12_weet_112()); foreach (string line in lines1) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } else { MessageBox.Show("Pls validate the input"); } } private void button3_Click(object sender, EventArgs e) { richTextBox1.Text = ""; string[] lines = System.IO.File.ReadAllLines(twitterlib.TwitterRT()); foreach (string line in lines) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } string[] val = new string[3]; ; int i = 0; foreach (string str in listBox2.SelectedItems) { val[i] = str; i++; } string st1 = twitterlib._T12_weet_Se_aep112() + val[0] + twitterlib._T12_weet_Se_aaep112() + val[0] + "\")"; string st2 = twitterlib._T12_weet_Se_aep112() + val[1] + twitterlib._T12_weet_Se_aaep112() + val[1] + "\")"; string st3 = twitterlib._T12_weet_Se_aep112() + val[2] + twitterlib._T12_weet_Se_aaep112() + val[2] + "\")"; if ((st1.Length > 0) || (st2.Length > 0) || (st3.Length > 0)) { richTextBox1.Text = richTextBox1.Text + twitterlib.Twittersep() + st1 + twitterlib.Twittersep() + st2 + twitterlib.Twittersep() + st3 + twitterlib.Twittersep(); string[] lines1 = System.IO.File.ReadAllLines(twitterlib._Fl_T12_weet_112()); foreach (string line in lines1) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } else { MessageBox.Show("Pls validate the input"); } } private void button4_Click(object sender, EventArgs e) { richTextBox1.Text = ""; string[] lines = System.IO.File.ReadAllLines(twitterlib.TwitterRT()); foreach (string line in lines) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } string[] val = new string[3]; ; int i = 0; foreach (string str in listBox2.SelectedItems) { val[i] = str; i++; } string st1 = " if \"clinton\" in text or \"hillary\" in text:\n candidates.append(\"clinton\")"; string st2 = " if \"trump\" in text or \"donald\" in text:\n candidates.append(\"trump\")"; string st3 = " if \"sanders\" in text or \"bernie\" in text:\n candidates.append(\"sanders\")"; if ((st1.Length > 0) || (st2.Length > 0) || (st3.Length > 0)) { richTextBox1.Text = richTextBox1.Text + twitterlib.Twittersep() + st1 + twitterlib.Twittersep() + st2 + twitterlib.Twittersep() + st3 + twitterlib.Twittersep(); string[] lines1 = System.IO.File.ReadAllLines(twitterlib._Fl_T12_weet_112()); foreach (string line in lines1) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } else { MessageBox.Show("Pls validate the input"); } } private void button2_Click(object sender, EventArgs e) { _4 plotting = new _4(); plotting.Show(); this.Hide(); } private void panel1_Paint(object sender, PaintEventArgs e) { } } } using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; namespace TwitterData { public partial class _3 : Form { public _3() { InitializeComponent(); } twitterlib.twitterlib twitterlib = new twitterlib.twitterlib(); private void button4_Click(object sender, EventArgs e) { richTextBox1.Text = ""; string[] lines = System.IO.File.ReadAllLines(twitterlib._F2_T12_weet_112()); foreach (string line in lines) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } string st1 = twitterlib._Tweet_Seaaep112() + listBox1.Items[0].ToString() + twitterlib._T_weet_Seaaep112() + listBox2.Items[0].ToString() + "'\nACCESS_TOKEN = '" + listBox3.Items[0].ToString() + "'\nACCESS_SECRET = '" + listBox4.Items[0].ToString() + "'\n"; richTextBox1.Text = richTextBox1.Text + st1; string[] lines1 = System.IO.File.ReadAllLines(twitterlib._F3_T12_weet_112()); foreach (string line in lines1) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } private void panel1_Paint(object sender, PaintEventArgs e) { listBox1.Items.Add(twitterlib.Tweet_Seap12()); listBox2.Items.Add(twitterlib.Tweet_Seap112()); listBox3.Items.Add(twitterlib.Tweet_Seaep112()); listBox4.Items.Add(twitterlib.Tweet_Seaaep112()); listBox1.SelectedIndex = 0; listBox2.SelectedIndex = 0; listBox3.SelectedIndex = 0; listBox4.SelectedIndex = 0; } private void button3_Click(object sender, EventArgs e) { string st1 ="public_tweets = api.search('" + textBox1.Text + "')\n"; richTextBox1.Text = richTextBox1.Text + st1; string[] lines1 = System.IO.File.ReadAllLines(twitterlib._F4_T12_weet_112()); foreach (string line in lines1) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } private void button2_Click(object sender, EventArgs e) { this.Close(); } } } 4.Plotting.cs using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; namespace TwitterData { public partial class _4 : Form { public _4() { InitializeComponent(); } twitterlib.twitterlib twitterlib = new twitterlib.twitterlib(); private void button4_Click(object sender, EventArgs e) { richTextBox1.Text = ""; string[] lines = System.IO.File.ReadAllLines("8.txt"); foreach (string line in lines) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } string str1 = "style.use('" + comboBox1.SelectedItem.ToString() + "')"; richTextBox1.Text = richTextBox1.Text + str1 + twitterlib.Twittersep(); string[] lines1 = System.IO.File.ReadAllLines("9.txt"); foreach (string line in lines1) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } private void panel1_Paint(object sender, PaintEventArgs e) { } private void button1_Click(object sender, EventArgs e) { FetchRecentTweets fetch = new FetchRecentTweets(); fetch.Show(); this.Hide(); } } } 5.FetchRecentTweets.cs using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; namespace TwitterData { public partial class FetchRecentTweets : Form { public FetchRecentTweets() { InitializeComponent(); } twitterlib.twitterlib twitterlib = new twitterlib.twitterlib(); private void button4_Click(object sender, EventArgs e) { richTextBox1.Text = ""; string[] lines = System.IO.File.ReadAllLines("10.txt"); foreach (string line in lines) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } string st1 = twitterlib._Tweet_Seaaep112() + listBox1.Items[0].ToString() + twitterlib._T_weet_Seaaep112() + listBox2.Items[0].ToString() + twitterlib._T1_weet_Seaaep112() + listBox3.Items[0].ToString() + twitterlib._T12_weet_Seaaep112() + listBox4.Items[0].ToString() + "'\n"; richTextBox1.Text = richTextBox1.Text + st1; string[] lines1 = System.IO.File.ReadAllLines("11.txt"); foreach (string line in lines1) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } private void button3_Click(object sender, EventArgs e) { string st2 = "for tweet in tweets[:" + textBox1.Text + "]:" + twitterlib.Twittersep(); richTextBox1.Text = richTextBox1.Text + st2; string[] lines12 = System.IO.File.ReadAllLines("12.txt"); foreach (string line in lines12) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } private void button1_Click(object sender, EventArgs e) { _6 withCustom = new _6(); withCustom.Show(); this.Hide(); } private void panel1_Paint(object sender, PaintEventArgs e) { listBox1.Items.Add(twitterlib.Tweet_Seap12()); listBox2.Items.Add(twitterlib.Tweet_Seap112()); listBox3.Items.Add(twitterlib.Tweet_Seaep112()); listBox4.Items.Add(twitterlib.Tweet_Seaaep112()); listBox1.SelectedIndex = 0; listBox2.SelectedIndex = 0; listBox3.SelectedIndex = 0; listBox4.SelectedIndex = 0; } } } 6.FetchRecentCustomTweets.cs using System; using System.Collections.Generic; using System.ComponentModel; using System.Data; using System.Drawing; using System.Linq; using System.Text; using System.Windows.Forms; namespace TwitterData { public partial class _6 : Form { public _6() { InitializeComponent(); } twitterlib.twitterlib twitterlib = new twitterlib.twitterlib(); private void button4_Click(object sender, EventArgs e) { richTextBox1.Text = ""; string[] lines = System.IO.File.ReadAllLines("10.txt"); foreach (string line in lines) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } string st1 = twitterlib._Tweet_Seaaep112() + listBox1.Items[0].ToString() + twitterlib._T_weet_Seaaep112() + listBox2.Items[0].ToString() + "'\nACCESS_TOKEN = '" + listBox3.Items[0].ToString() + "'\nACCESS_SECRET = '" + listBox4.Items[0].ToString() + "'\n"; richTextBox1.Text = richTextBox1.Text + st1; string[] lines1 = System.IO.File.ReadAllLines("20.txt"); foreach (string line in lines1) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } private void button1_Click(object sender, EventArgs e) { _3 sentiment = new _3(); sentiment.Show(); this.Hide(); } private void panel1_Paint(object sender, PaintEventArgs e) { listBox1.Items.Add(twitterlib.Tweet_Seap12()); listBox2.Items.Add(twitterlib.Tweet_Seap112()); listBox3.Items.Add(twitterlib.Tweet_Seaep112()); listBox4.Items.Add(twitterlib.Tweet_Seaaep112()); listBox1.SelectedIndex = 0; listBox2.SelectedIndex = 0; listBox3.SelectedIndex = 0; listBox4.SelectedIndex = 0; } private void button3_Click(object sender, EventArgs e) { string val1 = "tweets = extractor.user_timeline(screen_name=\"" + txt_cust1.Text + "\",count="+ txt_cust2.Text + ")"; richTextBox1.Text = richTextBox1.Text + val1 + "\n"; string st2 = "for tweet in tweets[:" + textBox1.Text + "]:" + twitterlib.Twittersep(); richTextBox1.Text = richTextBox1.Text + st2; string[] lines12 = System.IO.File.ReadAllLines("12.txt"); foreach (string line in lines12) { richTextBox1.Text = richTextBox1.Text + line + twitterlib.Twittersep(); } } } }
PROJECT MODULES
A module is a part of a program. Programs are composed of one or more independently developed modules that are not combined until the program is linked. A single module can contain one or several routines. The project contains the following main modules.
• MODULE 1 - TWITTER API INTEGRATION
• MODULE 2 – TWITTER REALTIME DATA PULLING
• MODULE 3 – TWITTER TEXT EXTRACTION
• MODULE 4 – FINDING TWEETS USING A KEYWORD
• MODULE 5 – SENTIMENTAL ANALYSIS ON TWEET DATA
• This module provides an information on how the twitter API is accessed,
• Functionality includes
• Valid Twitter Account
• Twitter Password
• API Key
• API Secret Key
• Once the authentication is applied, the application will access the twitter in live.
• This module enables a clear cut focusses on tweet access.
• This module provides the option of pulling the ten most recent tweets from your Twitter feed.
• This can be achieved via the functionality named as - API object’s - home_timeline() function.
• After calling the API, the data will then get stored
• The result set of twitter API will be in JSON format.
• The content will be taken out from the tweets via the method tweet.text.
• To access a specific attributes of each tweet object, we have to look at the JSON returned by the Twitter API.
• This module focusses on “text” attribute of each tweet, and information about the tweeter.
• This module extract the most recent tweets that contain a keyword which we are searching for.
• To monitor a specific topic - This can be extremely useful if you want to monitor specifically mentioned topics in the Twitter world.
• This will be useful to see how your business is getting mentioned.
• Run sentiment analysis on tweets to see if the overall opinion of your company is positive or negative.
• Create a social graphs of the most popular users that tweet about your company or product.
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