VisualAnalysis/index.html at master · zlun/VisualAnalysis · GitHub

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<!DOCTYPE html>
<html lang="en">
<style>
.chord path {
  fill-opacity: .67;
  stroke-width: .5px;
}

body {
  font: 10px sans-serif;
}
.Text
{
  color:black;
  font-weight:bold;
  font-family: Arial;
  font-size: 24px;

}
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}

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div.legendaContinent{
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  opacity: .9;
  position:fixed;
  width: 200px;
    height: 100px;
  bottom: 40px;
  right: 40px;
  z-index: 1000;
  padding: 10px;
}

</style>

<head>
	<link rel="stylesheet" href="http://rawgithub.com/Caged/d3-tip/master/examples/example-styles.css">
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    <meta name="discription" content="Undergraduate Honor Thesis Demo">
    <meta name="author" content="Zhelun Wu">

    <title>Honor Thesis Demo</title>

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                    <li>
                        <a class="page-scroll" href="#about">Abstract</a>
                    </li>

                  	<li>
                        <a class="page-scroll" href="#setup">Experiment Setup</a>
                    </li>

                    <li>
                        <a class="page-scroll" href="#classify">Classifier</a>
                    </li>

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                        <a class="page-scroll" href="#visualize">Visualization</a>
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                    <h1>INTERACTIVE VISUALIZATION OF USER PROFILE CLASSIFICATIONS AND RELATIONSHIPS</h1>
                    <br>
                    <br>
                    <p><strong>Author: Zhelun Wu</strong> <br>
                    <br>
                    <br>
                     Submitted in partial fulfillment of the requirements for the degree of Bachelor of Computer Science, Honours <br>
at <br>
Dalhousie University Halifax, Nova Scotia April 2014</p>
                    <address>
  <strong>Contact Me</strong><br>
  <a href="mailto:#">zhelunw@sfu.ca</a>
</address>
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    </section>

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                    <h1 align ='justify' >Abstract</h1>
                    <p align='justify'>
                    User profiles are commonly used in online social networking sites such as Linkedin, Twitter and Google Scholar. <br>
                    The Profiles can be used to store the characteristics and interests of a person. For example, given user <br>
                    profiles, we can categorize users and find common interests among them. Manual profiling and categorization are <br>
                    very laborious tasks, therefore in this thesis, we propose an interactive visualization system that automatically <br>
                    classifies user profiles and finds their relationships based on the contents of profiles. The input data are user <br>
                    profiles in HTML format. To visualize the classifications and relationships, we create interactive diagrams using a <br>
                    javascript library D3.js. In addition, we conducted experiments on profiles of researchers from Dalhousie and Stanford <br>
                    extracted from Google Scholar. The trained classifier achieved up to 96.67% accuracy on 30 Dalhousie profiles and 74.46% <br>
                    on 188 Stanford profiles using 10-fold cross validation, both trained by extracting key phrases from their paper titles. <br>
                    We also propose a profile extraction method based on tag generalization which can be applied when textual information <br>
                    about the user is not available. Our system contributes to finding the best training phrases (from manual assigned phrases, <br>
                    extracted key phrases and general tags) to train the best performance classifier, visualizing the classified results <br>
                    and finding relationships among user profiles according to general tags.</p>
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    </section>

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                    <h1>Experiment Setup</h1>
                    <h4 align = 'justify'> <strong> Classifier Evaluation </strong> </h4>
                    <p align='justify'> We trained the classifiers from the extracted and automatic generated key phrases from Google Scholar User Profiles.
                    The dataset consists 30 profiles from Dalhousie University researchers and 180 profiles from Stanford University. We used 10-fold cross validation. The
                    training set is a set of key phrases with the class of research area. We want to use this chart to show which key phrases can train a good classifier to classifiy
                    the research area
                    </p>
                    <h4 align = 'justify'> <strong> Common Interest Relationships Visualization </strong> </h4>
                    <p align='justify'>
                    We visualized the common research interest among the researchers. We connected researchers based on the different generalization level phrases generated from the key phrases extracted from their
                    user profiles.
                    </p>
                </div>
            </div>
        </div>
    </section>

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                    <h1 align ='justify'>Classifier Evaluation</h1>
                    	<p align ='justify'>

                    	 <br>
                    	 <strong> iter 0 to 8 </strong>: We have a tag generalization system which take the phrases as input to genearte different levels of generalization phrases. The higher level of generalization,
                    	 more general meaning the phrase is. iter 0 means the orignial phrases, and iter 8 is the highest level of the generalization. <br>
                    	 <strong> DalKeyPhrases and StanfordKeyPhrases</strong>: The key phrases are from the user profiles article key phrases, weighted by semantic similarity score returned from phrase generalization system. <br>
                    	 <strong> DalDomain and StanfordDomain</strong>: The key phrases are extracted from user profile. Theses phrases are the users manually provided when they create the their user profiles. Each phrases are weighted by their frequency. <br>
                    	 <strong> DalKeyPhrasesFre and StanfordKeyPhrasesFre </strong> : The key phrases are from the user profiles article key phrases, weighted by their frequency. <br>
                    	 </p>

						<div class="inner-cover">

           				<script src= "classification/chart.js"></script>

         				</div>
                </div>
            </div>
        </div>
    </section>

    <section id="visualize" class="services-section">
        <div class="container">
            <div class="row">
                <div class="col-lg-12" align='justify'>
                    <h1>Visualization Section</h1>
                     <li><h5 class="label-input-field"> Choose Dataset: </h5></li>
          <div class="btn-group button-input-field" data-toggle="buttons">
          <label class="btn btn-info" ><input type="radio" name="width" id="width1" onchange="ChooseDataset('Dalhousie')"> Dalhousie</label>
          <label class="btn btn-info" ><input type="radio" name="width" id="width1" onchange="ChooseDataset('Stanford')"> Stanford</label>

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            <input id = "input" class="typeahead-tt-input" type = "textbox"  placeholder="Professor name" style="position: relative; vertical-align: top; background-color: transparent;"/>

          <div class="btn-group">
            <button id="Add" type="button" class="btn btn-default" onclick="myFunction()" style="position: relative; vertical-align: top; background-color: grey;">Add</button>

          </div>

            <pre aria-hidden="true" style="position: absolute; visibility: hidden; white-space: nowrap; font-family: '.LucidaGrandeUI'; font-size: 24px; font-style: normal; font-variant: normal; font-weight: 400; word-spacing: 0px; letter-spacing: 0px; text-indent: 0px; text-rendering: auto; text-transform: none;"></pre>

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             <div class="tt-dataset-0"></div>
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           <br>
           <br>
           <br>
           <br>
           <br>


          <div class="btn-group button-input-field" data-toggle="buttons">
          <label class="btn btn-info" ><input type="radio"  name="width" id="width1"  onchange="ChooseClass('real');">Show Actual Class</label>
          <label class="btn btn-info" ><input type="radio"  name="width" id="width1" onchange="ChooseClass('classified');">Show Classified Class</label>
          </div>


          <li><h5 class="label-input-field"> Show The Selected Professors' Relationships </h5></li>
          <div class="btn-group button-input-field" data-toggle="buttons">
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Part_Matrix(0)"> 1</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Part_Matrix(1)"> 2</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Part_Matrix(2)"> 3</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Part_Matrix(3)"> 4</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Part_Matrix(4)"> 5</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Part_Matrix(5)"> 6</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Part_Matrix(6)"> 7</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Part_Matrix(7)"> 8</label>
        </div>

        <li><h5 class="label-input-field"> Show The Whole Dataset: </h5></li>
          <div class="btn-group button-input-field" data-toggle="buttons">
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Whole_Matrix(0)"> 1</label>
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          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Whole_Matrix(2)"> 3</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Whole_Matrix(3)"> 4</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Whole_Matrix(4)"> 5</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Whole_Matrix(5)"> 6</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Whole_Matrix(6)"> 7</label>
          <label class="btn btn-info"><input type="radio" name="width" id="width1" onchange="Filter_Whole_Matrix(7)"> 8</label>
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