Text Analysis in Research and Academics
Mar 22, 2022
Use BytesView’s advanced text analysis techniques to analyze large volumes of unstructured text data to get access to precise analytics insights with ease and minimize your workload.
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Use BytesView’s advanced text analysis techniques to analyze large volumes of unstructured text data to get access to precise analytics insights with ease and minimize your workload.
Transcript
Text Analysis for Research and AcademicsResearchers and students need to deal with vast volumes of unstructured data. It can be related to market research, opinion mining/sentiment analysis, content analysis, thematic analysis, experimental research analysis, extracting both qualitative as well as quantitative data, intent analysis, etc.
BytesView is a highly efficient text analytics solution that can help researchers and students to gather and analyze text data in various formats and from multiple sources. Analyze the opinions, suggestions, intent, perform sentiment analysis, identify recurring topics, and subject matter with ease.
Gather the Research Data in Excel or Text
Document
Document
Present the Output
Export the Output
Let's break down the whole process of accessing the Bytesview's text analysis solution -
Benefits of Text Analytics in Research
and Academics
Extracting Relevant Data
Researchers need to collect and study a huge amount of data. Which can easily become tedious and overwhelming. With text analysis, they can easily extract and analyze only the relevant data from the text.
Minimizing the workload
Analyzing text data for any kind of research or academic purpose is a huge undertaking that requires enormous amounts of time and energy being invested by an individual. Text analysis can help a person achieve useful insights quickly and thus minimizing their workload.
Preventing bias and error
Any research or academic process is a long and difficult task that a individual have to perform by himself. This very often leaves the text data prone to human errors and bias. Text analysis can help in easily analyzing the whole data set without error.
Operational efficiency Text analysis helps increase operational
efficiency, especially when the data is huge. According to a recent survey of institutional research and assessment professionals across Canada and the U.S., it was found that 77 percent of respondents manually read and tag their survey comments. They have described this process as “time-consuming”, “tedious”, and “labor-intensive’’.
For more information, visit:
website: https://www.bytesview.com/ twitter: https://twitter.com/BytesView facebook: https://www.facebook.com/bytesview/
BytesView is a highly efficient text analytics solution that can help researchers and students to gather and analyze text data in various formats and from multiple sources. Analyze the opinions, suggestions, intent, perform sentiment analysis, identify recurring topics, and subject matter with ease.
Gather the Research Data in Excel or Text
Document
Document
Present the Output
Export the Output
Let's break down the whole process of accessing the Bytesview's text analysis solution -
Benefits of Text Analytics in Research
and Academics
Extracting Relevant Data
Researchers need to collect and study a huge amount of data. Which can easily become tedious and overwhelming. With text analysis, they can easily extract and analyze only the relevant data from the text.
Minimizing the workload
Analyzing text data for any kind of research or academic purpose is a huge undertaking that requires enormous amounts of time and energy being invested by an individual. Text analysis can help a person achieve useful insights quickly and thus minimizing their workload.
Preventing bias and error
Any research or academic process is a long and difficult task that a individual have to perform by himself. This very often leaves the text data prone to human errors and bias. Text analysis can help in easily analyzing the whole data set without error.
Operational efficiency Text analysis helps increase operational
efficiency, especially when the data is huge. According to a recent survey of institutional research and assessment professionals across Canada and the U.S., it was found that 77 percent of respondents manually read and tag their survey comments. They have described this process as “time-consuming”, “tedious”, and “labor-intensive’’.
For more information, visit:
website: https://www.bytesview.com/ twitter: https://twitter.com/BytesView facebook: https://www.facebook.com/bytesview/
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