Text Mining Analysis
Text Mining Analysis enables you to understand your customers' wills and needs by analyze their opinions toward your brand based on the words they used. The result will help you select the best strategy to reach target customers.
OA（Open-ended answer）your answer can be text mining
Frequency List of Words
KWIC Concordance Lines
Hierarchical Cluster Analysis
Regarding to recognize customer's respond of brand, you can use sentiment analysis to get brand reviews toward media targeted. By those media targeted, you could obtain insight of customer brand loyalties, their purchase decisions, and their brand advocacy by monitoring the customers. Text mining can generate through monitoring web pages, online news, internet discussion groups, online reviews, web blogs and social media. Textual summaries could be analyzed to get more detailed and deeper information for long term strategy.
Advertising Evaluation Study
Regarding to impression of Ads survey, text mining analyze before and after Ads change in its content, catch copy or setting infiltration image advertisement. In future, such as in image personality survey, you can improve the measurements at paper Ads. It's also more effective ways to improve PDCA cycle in Ads strategy.
Satisfaction and Dissatisfaction Survey of Brand Service
Regarding to customer satisfaction survey with evaluation scales of 5, Free answer always come as additional comment. Therefore, text mining is the method to explore the dissatisfaction area that has not yet found by not just coding the free answer as in previous practice before. Text mining program allow you to find the correlated, relation and the correspondence of all additional comments from free answer that would allow the company to gain more insight to improve costumer satisfaction, develops consumer strategy, and further enhance to determine product strengths.
- ・Get insight from consumer quantitatively. Text is converted into data straightaway.
- ・Reduce time to create qualitative and quantitive data report.
- ・Easy to understand as the report can be presented in numerical data.
Exploration of Data
This stages are describing about extraction the concepts of unstructured text for a meaningful analysis which could be sort out become summary. High-quality information is typically derived through the devising of patterns and trends through means by its segments.
Get the conceptual data, then discover deeper analysis
Representative summary could be presented by create some coding of numerical values. These values are tabulated and analyzed to get deeper analysis.
The result depends on open ended questions, you can not release the concept within the data.
※ When analyze text mining, you should translate free answer from Thailand to English
Unit : USD
1 sample: USD 0.5 / 1 answer
ex) 1 question, 300 samples: USD 0.5 × USD 300 = USD 150
|Analysis report||USD 200 ~|
|Local --> English||USD 0.975 / Free answer of 120 letters|
|Timing||Individual project schedule（At least 2days～）|