Text Mining Analysis
Listening to your customer is one of important factor to know their will and needs. By using Text Mining Analysis you will discover the real opinion of based on the words they use and their intention. Toward brand. Refer from the stunning visual data we can decided best strategy to reach the customers at minutes.
OA（Open-ended answer）your answer can be text mining
Frequency List of Words
KWIC Concordance Lines
Hierarchical Cluster Analysis
Satisfaction and Dissatisfaction Survey of Brand Service
Regarding to customer satisfaction survey with evaluation scales of 5, satisfaction points and complaints are described specifically in free answer. However, text mining not only analyze real intention of customer by sample scales of 5, but also provide strategies to improve costumer satisfaction, develops consumer strategy, and further enhance to determine product strengths.
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.
Survey of Comparison Brand Image
Regarding to brand image research on matrix question, brand image which recalled by customers will be written as free answer. Results of text mining analysis attempt comparison between your company with competitors, or provides any brand image strategies, include boost up brand position and measure improvements.
- ・Get insight from consumer based on quantitative data. Converting text into analyzed data at second.
- ・Save time to create report of qualitative and quantitative data.
- ・Presenting the report in numerical data and easily to digest the information.
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 Indonesian to English
Unit : USD
1 sample: USD 0.5 / 1 question
ex) 1 question, 300 samples: USD 0.5 × USD 300 = USD 150
|Analysis report||USD 200 ~|
|Local --> English||USD 0.75 / Free answer of 120 letters|
|Timing||Individual project schedule（At least 2days～）|