text analysis for research and academics

TEXT

ANALYSIS FOR

RESEARCH AND

ACADEMICS Analyze Text
for Research
and
Academics

ROLE OF TEXT ANALYSIS IN RESEARCH
AND ACADEMICS

Researchers 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

HOW BYTESVIEW TEXT
ANALYSIS TOOL CAN HELP
YOU?

BytesView is a highly efficient text analytics solution that Text analysis
can help researchers and students to gather and analyze helps to improve
text data in various formats and from multiple sources. overall efficiency
Analyze the opinions, suggestions, and intent, perform and precision
sentiment analysis, and identify recurring topics, and while analyzing
subject matter with ease. data and
minimize
workload.

BENEFITS OF 1 Extracting Relevant Data
TEXT 2 Preventing bias and error
3 Minimizing the workload
ANALYSIS IN 4 Operational efficiency
RESEARCH

1. 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.

2. PREVENTING BIAS AND ERROR

Any research or academic process is a long and
difficult task that an individual has 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.

3. 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

4. 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’’.

LET BYTESVIEW PLATFORM HELPS YOU SOLVE ALL YOUR
TEXT ANALYSIS NEEDS





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