{"id":47665,"date":"2020-04-30T18:07:51","date_gmt":"2020-04-30T22:07:51","guid":{"rendered":"https:\/\/www.sogolytics.com\/blog\/?p=47665"},"modified":"2021-05-06T06:49:44","modified_gmt":"2021-05-06T10:49:44","slug":"advanced-reporting-text-analysis-report","status":"publish","type":"post","link":"https:\/\/www.sogolytics.com\/blog\/advanced-reporting-text-analysis-report\/","title":{"rendered":"Advanced Reporting: Text Analysis Report"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">Reporting is easy when you have statistics. Numbers, frequencies, and graphs are the bread and butter of quantitative analysis. What happens when you have qualitative data that needs processing though?<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Open-ended, free form responses for any survey can provide great insights. Comments offer explanations and paint pictures that numbers and graphs can\u2019t always provide. But having over a hundred, maybe a thousand text responses to go through and complete a content analysis on is not an easy task.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Sogolytics has several reports that work with open-ended responses:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/www.sogolytics.com\/help\/individual-survey-participant-report\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Individual Report<\/span><\/a><span style=\"font-weight: 400;\"> display a single participant\u2019s complete responses, including any text fields<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">A <\/span><a href=\"https:\/\/www.sogolytics.com\/help\/verbatim-open-ended-text-analysis\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Verbatim Report<\/span><\/a><span style=\"font-weight: 400;\"> will display any data collected in open-ended questions in both card and word cloud format.<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/www.sogolytics.com\/help\/response-table-survey-report\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Response Table Report<\/span><\/a><span style=\"font-weight: 400;\"> allows you to view all your data, including open-ended responses, in a tabular format in groups of 100. (Export the full set in Data!)<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">The <\/span><a href=\"https:\/\/www.sogolytics.com\/help\/overview-omni-report\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Omni Report<\/span><\/a><span style=\"font-weight: 400;\"> allows you to see a visual representation of your open-ended responses with a word cloud alongside the graphs for your numerical data.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">Each of these reports offers great opportunities to view a comprehensive list of all your open-ended responses. The Verbatim and Omni report even provides you a powerful visualization of how frequently certain words appear in responses. The bigger the word in the cloud, the more often it was mentioned by participants.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Reporting With NLP<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The one thing that none of these reports can do, however, is analyze all those text answers. You may be able to see what everyone said, but how do you quantify qualifying data? That\u2019s the beauty of Sogolytics\u2019s newest report: <\/span><a href=\"https:\/\/www.sogolytics.com\/help\/how-to-analyze-text-response-for-sentiment\/\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Text Analysis<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Using Google\u2019s impressive <\/span><a href=\"https:\/\/cloud.google.com\/natural-language\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">Natural Language Processing<\/span><\/a><span style=\"font-weight: 400;\"> (NLP) capabilities, the Text Analysis report will, according to Google, help you recognize insights from unstructured text using Google machine learning. <\/span><a href=\"https:\/\/www.sas.com\/en_us\/insights\/analytics\/what-is-natural-language-processing-nlp.html\" target=\"_blank\" rel=\"noopener noreferrer\"><span style=\"font-weight: 400;\">NLP<\/span><\/a><span style=\"font-weight: 400;\"> is defined as \u201ca branch of artificial intelligence that helps computers understand, interpret and manipulate human language.\u201d It\u2019s a way to bridge the gap between binary languages and the human ones.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">When running a Text Analysis report, the platform will take all your free form responses and run them through Google\u2019s NLP. Most reports can generate results in minutes. A few clicks through the wizard and you have a great report at your fingertips. Text Analysis, however, takes a bit more time to generate because of the AI training that must be done. Our users survey a variety of subject matter and fields\u2014from healthcare to hospitality. To make sure that your content is categorized by relevant topics or tags, the Sogolytics team works on the backend to train the AI, making sure that each topic is relevant to the survey\u2019s subject.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Open-Ended Overview<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The first thing you\u2019ll see in a TextAnalysis report is an Overall Metrics card at the top of the report. This is essentially a detailed summary of your open-ended responses, including metrics like:\u00a0<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Total Responses<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Total Records<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Positive Responses<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Negative Responses<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Neutral Responses<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The first tab of the report is the Dashboard, which shows a graph and a word cloud. The word cloud may look familiar to those who\u2019ve seen it in Omni or Verbatim before. By clicking the three-dot icon to the top right of it, you can customize and filter your data as needed. With the ability to filter the word cloud, it provides a great overview of some of the more frequent responses your questions received. But how do you know if those responses are good or bad?<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The key functionality that sets this report apart is its ability to assign a sentiment score. Depending on the NLP analysis, an answer can be scored as a negative, neutral, or positive sentiment. A sentiment score below -0.05 is negative and above 0.05 positive, any number between these is considered neutral. A maximum of seven topics carefully developed to be survey-specific are then assigned to each response. More than one topic can be assigned to a response. These same categories are found in the sentiment graph on the Dashboard.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">The value of sentiment scores takes the guesswork out of all your free form questions.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>Diving Deeper<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">The sentiment graph, a brand-new update that came out with the <\/span><a href=\"https:\/\/www.sogolytics.com\/blog\/sogosurvey-19-0-better-together\/\"><span style=\"font-weight: 400;\">19.0 release<\/span><\/a><span style=\"font-weight: 400;\">, is found to the left of the word cloud. This graph provides a visual representation of the overall sentiment percentages for each topic in easy-to-read donut charts. The graph displays a donut for each category or topic the responses have been divided into. You can see a complete list of responses for any chosen topic by clicking on the donut chart or by going into the second, Open-Ended Responses tab on the report. To pull out the details of the donut charts, just hover over the different colored sections to dive deeper into:<\/span><\/p>\n<p>&nbsp;<\/p>\n<ul>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Number of responses categorized within this topic<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Mean Sentiment<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Median Sentiment<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Number and percentage of positive responses<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Number and percentage of negative responses<\/span><\/li>\n<li style=\"font-weight: 400;\"><span style=\"font-weight: 400;\">Number and percentage of neutral responses<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">On the Open-Ended Responses tab, you have a variety of ways to drill down on responses and find specific insights. Here you have the option to filter responses. You can filter by different categories, question numbers, topics or sentiments, all by clicking the column title and choosing from the dropdown menu. Doing a workplace survey and want to filter by department? Done! You can also search for more specific keywords in the search box at the top left of the chart.<\/span><\/p>\n<p>&nbsp;<\/p>\n<h2><b>What\u2019s Next?<\/b><\/h2>\n<p><span style=\"font-weight: 400;\">What\u2019s the one thing this amazing report can\u2019t do? Like some humans, it can\u2019t detect sarcasm. So, if you have a few sarcastic comments in the bunch, the system won\u2019t be able to tell\u2014yet! But coming soon there just might be the possibility to override the system\u2019s lack of humor.<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">Whenever you\u2019re ready, you can export this report for your viewing pleasure later. So next time you have a thousand comments with hidden gems of useful information, save time and use the built-in sentiment analysis capability of a Text Analysis report!<\/span><\/p>\n<p>&nbsp;<\/p>\n<p><span style=\"font-weight: 400;\">If you\u2019re interested in learning how to add the Text Analysis Report to your account, or want to learn more about it, you can request a <\/span><a href=\"javascript:void(0)\" class=\"lct_radbtn\"><span style=\"font-weight: 400;\">demo<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Reporting is easy when you have statistics. Numbers, frequencies, and graphs are the bread and butter of quantitative analysis. What happens when you have qualitative data that needs processing though? &nbsp; Open-ended, free form responses for any survey can provide great insights. Comments offer explanations and paint pictures that numbers and graphs can\u2019t always provide. But having over a hundred, maybe a thousand text responses to go through and complete a content analysis on is not an easy task. &nbsp; Sogolytics has several reports that work with open-ended responses: &nbsp; The Individual Report display a single participant\u2019s complete responses, including any text fields A Verbatim Report will display any data collected in open-ended questions in both card and word cloud format. The Response Table Report allows you to view all your data, including open-ended responses, in a tabular format in groups of 100. (Export the full set in Data!) The Omni Report allows you to see a visual representation of your open-ended responses with a word cloud alongside the graphs for your numerical data. Each of these reports offers great opportunities to view a comprehensive list of all your open-ended responses. The Verbatim and Omni report even provides you a powerful visualization of how frequently certain words appear in responses. The bigger the word in the cloud, the more often it was mentioned by participants. &nbsp; Reporting With NLP The one thing that none of these reports can do, however, is analyze all those text answers. You may be able [&hellip;]<\/p>\n","protected":false},"author":40,"featured_media":5052,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[205],"tags":[11,449,450,221,259,447,448],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v19.7.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Advanced Reporting: Text Analysis Report - Sogolytics Blog<\/title>\n<meta name=\"description\" content=\"You&#039;ve collected open-ended responses, but what&#039;s next? Sogolytics&#039;s reporting suite offers a range of options for qualitative analysis. 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