Text mining2

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Aparatus
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4,829 Kb
Views
14,168
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What is a text mining2? How do you make a text mining2? This script and codes were developed by Aparatus on 25 October 2022, Tuesday.

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Text mining2 - Script Codes HTML Codes

<!DOCTYPE html>
<html >
<head> <meta charset="UTF-8"> <title>text mining2</title>
</head>
<body> <style type="text/css"> *{	margin: 0;	padding: 0;
}
body{	font-family: 'Roboto',sans-serif;	font-weight: 300;	font-size: 14px;	color: rgb(50,50,50);	background-color: rgb(236,240,241);
}
h1{	font-weight: 300;	font-size: 45px;
}
h2{	font-weight: 300;	font-size: 24px;
}
h2+p{	margin-top: .5em;
}
p+p{	margin-top: .7em;
}
p+h2{	margin-top: .5em;
}
a{	color: inherit;
}
main{	padding: 10vw;
}
/* ################################# */
.bp_blogPost{	width: 100%;	max-width: 900px;	margin: auto;	overflow: hidden;	border-radius: 2px;	background-color: rgb(255,255,255);	box-shadow: 0 3px 12px rgba(0, 0, 0, 0.23), 0 3px 12px rgba(0, 0, 0, 0.16);
}
.bp_header{	width: 100%;
}
.bp_img img{	width: 100%;	min-width: 100%;	max-width: 100%;	filter: url('data:image/svg+xml;charset=utf-8,<svg xmlns="http://www.w3.org/2000/svg"><filter id="filter"><feComponentTransfer color-interpolation-filters="sRGB"><feFuncR type="linear" slope="1.5" intercept="-0.25" /><feFuncG type="linear" slope="1.5" intercept="-0.25" /><feFuncB type="linear" slope="1.5" intercept="-0.25" /></feComponentTransfer></filter></svg>#filter');	-webkit-filter: contrast(150%); filter: contrast(150%);
}
.bp_preview .bp_img img{	max-height: 250px;	-o-object-fit: cover; object-fit: cover;
}
.bp_bar{	padding: 20px 40px 10px;	display: -webkit-box;	display: -webkit-flex;	display: -ms-flexbox;	display: flex;	-webkit-box-pack: justify;	-webkit-justify-content: space-between; -ms-flex-pack: justify; justify-content: space-between;
}
.bp_title{	max-width: calc(100% - 230px);
}
.bp_preview .bp_title{	max-width: calc(100% - 130px);
}
.bp_title a{	text-decoration: none;
}
.bp_subBar{	display: -webkit-box;	display: -webkit-flex;	display: -ms-flexbox;	display: flex;	font-size: 12px;	color: rgb(90,90,90);
}
.bp_subBar>*{	padding-left: 7px;
}
.bp_author a{	text-decoration: none;
}
.bp_nav_wrap{	position: relative;
}
.bp_nav_trigger{	padding: 0 7px;	cursor: pointer;	font-size: 20px;	margin-top: -2px;
}
.bp_nav{	position: absolute;	top: 25px;	right: 0;	width: 180px;	font-size: 14px;	color: rgb(50,50,50);	z-index: -1;	opacity: 0;	filter: alpha(opacity=0);	-webkit-transition: all .4s .3s, opacity .4s 0s; transition: all .4s .3s, opacity .4s 0s;	background-color: rgb(255,255,255);	box-shadow: 0 6px 12px rgba(0, 0, 0, 0.23), 0 10px 40px rgba(0, 0, 0, 0.19);	border-radius: 3px;
}
.bp_nav_trigger:hover + .bp_nav,
.bp_nav:hover{	z-index: 1;	opacity: 1;	filter: alpha(opacity=100);	-webkit-transition: all .4s, opacity .4s .1s; transition: all .4s, opacity .4s .1s;
}
.bp_nav ul{	list-style: none;
}
.bp_nav li{	list-style-type: none;	cursor: pointer;	padding: 10px 17px;	-webkit-transform: translateX(-10px); -ms-transform: translateX(-10px); transform: translateX(-10px);	-webkit-transition: all .4s, -webkit-transform .2s .15s; transition: all .4s, transform .2s .15s;
}
.bp_nav li:hover{	background-color: rgba(0,0,0, .1);
}
.bp_nav li:nth-child(2){	-webkit-transition: all .4s, -webkit-transform .2s .2s; transition: all .4s, transform .2s .2s;
}
.bp_nav li:nth-child(3){	-webkit-transition: all .4s, -webkit-transform .2s .25s; transition: all .4s, transform .2s .25s;
}
.bp_nav_trigger:hover + .bp_nav li,
.bp_nav:hover li{	-webkit-transform: translateX(0); -ms-transform: translateX(0); transform: translateX(0);
}
.bp_nav i{	padding-right: 10px;
}
.bp_content{	padding: 10px 40px 20px;
}
</style>
<main>	<article id="article_0" class="bp bp_blogPost" data-article-id="0" itemscope itemtype="http://schema.org/BlogPosting">	<header class="bp_header">	<div class="bp_img">	<img src="https://scontent.fscl1-1.fna.fbcdn.net/v/t1.0-9/15350591_556097084589903_7290191773837405543_n.jpg?oh=79e04b206f07b4d702475e141b705d11&oe=599ED8D1" width="900" height="400"alt="One alone Wolf" itemprop="image">	</div>	<div class="bp_bar">	<h1 class="bp_title" itemprop="name"><a href="https://aparatus.000webhostapp.com/aparatus0205.html" itemprop="url">Text mining analytics on social work managers’ skills and qualities</a></h1>	<div class="bp_subBar">	<span class="bp_author" itemprop="author"><a href="https://www.linkedin.com/in/oscar-e-cariceo-rivera-18247a10a/" target="_blank">Oscar Cariceo</a></span>	<time datetime="2015-06-09T16:40:00+01:00" itemprop="datePublished">06.12.2017 </time>	</div>	</div>	<meta itemprop="description" content="This is a awesome article about wolves and is crafted with magic and love.">	</header>	<div class="bp_content" itemprop="articleBody">	<h2>Introduction</h2>	<p>Text mining is a technique from data science approach that seeks distilling actionable insights from texts. This brief work presents an exercise of text mining and analytics based on the data available in the Monday Morning Manager (MMM) Blog Series of the Network for Social Work Management. The MMM is a weekly blog series, where social work managers referring to management skills and professional qualities, through sharing their experience in management successes and future challenges. Therefore; the goal was to retrieve relevant terms from the set of blog posts available in the NSWM website. This analysis was conducted using the RStudio software. To learn more about data science and social work read this <a href="https://aparatus.000webhostapp.com/Data%20science%20for%20social%20work%20management.pdf" download="NSWM IMP"> paper
</a> which is part of the International Mentorship Program of the Network for Social Work Management final project. </p>	<p>The MMM is a weekly blog series, where social work managers referring to management skills and professional qualities, through sharing their experience in management successes and future challenges. Therefore; the goal was to retrieve relevant terms from the set of blog posts available in the NSWM website. This analysis was conducted using the RStudio software. </p>	<h2>Methodology</h2>	<p>The text mining process started retrieving and cleaning posts from the MMM blog series from June 2014 to February 2017. In each post, managers describe their experience on social work management path.
In order to simplify the data retrieved and analysis, there were randomly selected four main features contained in 83 blog posts: leadership qualities,	team motivation, networking implications, and advice to new managers.	</p>	<p>This analysis used the “bag of words” method for text mining, where word type or order does not matter for analysis. Bag of words method focuses on the attributes of the documents. In other words, frequent words are the important key to proposing actionable insight.</p>
<p>In terms of technical procedures, the MMM blog post where organized as a “corpus”, which is a collection of documents, in order to reduce information and organize the text. Then, the corpus of the MMM blog post was cleaning by removing punctuation, stop words, and converting all the words to lowercase. In addition, the corpus was processed by a word steaming method to avoid similarities among terms and overrepresentation of specific words.
</p>	<h2>Results</h2>	<p>Preliminary results of the text mining on the MMM blog posts were visualized by the word cloud method. This technique shows specific terms according to their frequency and compares them with other words contained in a text corpus. All the features were visualized using the word cloud technique.</p>	<br>	<h3> Fig 1. Word Cloud for leadership qualities</h3>	</br>	<h3></h3>	<div class="bp_img">	<img src="https://scontent.fscl1-1.fna.fbcdn.net/v/t31.0-8/19143127_1581627131887746_4003164086931363358_o.jpg?oh=af4fe888780b2db963a19abe7f8926a1&oe=59DF0CC2" alt="One alone Wolf" itemprop="image">	</div>	<p>In terms of social work qualities for leadership, the words more frequently used among mangers were “team”, “leader”, “staff”, “people”. </p>	<br>	<h3> Fig 2. Word Cloud for team motivation</h3></br>	<div class="bp_img">	<img src="https://scontent.fscl1-1.fna.fbcdn.net/v/t31.0-8/19222604_1582027098514416_502251303126667168_o.jpg?oh=787750b5c8da409f3e0c133b87195e1d&oe=59D4883B" alt="One alone Wolf" itemprop="image">	</div>	<p>In this case, the most common word is “team”, which matches with the leadership qualities feature. In addition, terms such as “staff”, and “people”, are common as well. Words like “believe” and “know” are also frequent. </p>	<br><h3> Fig 3.Word cloud for networking implications</h3></br>	<div class="bp_img">	<img src="https://scontent.fscl1-1.fna.fbcdn.net/v/t31.0-8/19221566_1582035421846917_7472573785248195252_o.jpg?oh=baf90e9d5bc66b2249f8be932401d547&oe=599ED865" alt="One alone Wolf" itemprop="image">	</div>	<p>In relation to networking implications, the word “people” is the most frequent term and match with the two previous features. In addition, words like “professional”, “relationships”, and “opportunities” are common within the text corpus. </p>
<br><h3> Fig 4. Word Cloud for advice to new managers</h3></br>	<div class="bp_img">	<img src="https://scontent.fscl1-1.fna.fbcdn.net/v/t31.0-8/19095598_1582038348513291_2146340655276554651_o.jpg?oh=ce1c42688ed15eb5cf6d6a93f7c0b42a&oe=59A288D5" alt="One alone Wolf" itemprop="image">	</div>	<p>For the final feature, again the word “people” is frequent. In addition, terms like “learn”, “know”, and “change” are common to refer advices to professional that are starting their career in social work management. </p>
<br><h3> Fig 5. Pyramid plot for leadership qualities and team motivation feature comparison</h3></br>	<div class="bp_img">	<img src="https://scontent.fscl1-1.fna.fbcdn.net/v/t31.0-8/19055644_1582048005178992_5873408862194659546_o.jpg?oh=f78957b587c5dbe19687f6cb1ff842de&oe=59E29B47" alt="One alone Wolf" itemprop="image">	</div>	<p>This visualization shows the most common words expressed by manager related to leadership and motivation, as core components of social work management skills. Concepts and ideas like “team”, “staff”, “members”, and “people”, are predominant among managers. </p>
</div>	</article>
</main>
</body>
</html>
Text mining2 - Script Codes
Text mining2 - Script Codes
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Developer Aparatus
Username aparatus
Uploaded October 25, 2022
Rating 3
Size 4,829 Kb
Views 14,168
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