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.

Output sample

OA(Open-ended answer)your answer can be text mining

  • Frequency List of Words

  • Searching Words

  • KWIC Concordance Lines

  • Hierarchical Cluster Analysis

  • Co-Occurrence Network

  • Correspondence Analysis

The Main Advantage Scene

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.

Media Listening

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.

The advantage when you use text mining

  • ・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.

Two stage analysis

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.

---Note----

The result depends on open ended questions, you can not release the concept within the data.

Sample estimation

※ When analyze text mining, you should translate free answer from Indonesian to English

Unit : USD

Text Mining 1 sample: USD 0.5 / 1 question
ex) 1 question, 300 samples: USD 0.5 × USD 300 = USD 150
Analysis report USD 200 ~

Translation Fee

Local --> English USD 0.75 / Free answer of 120 letters

Schedule

Timing Individual project schedule(At least 2days~)

number of panellist

24-Sep-2017 225,113

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Company

Contact

  • Tokyo +81(3)5421-7925
  • Okayama +81(86)293-2934
  • Osaka +81(6)6390-1441
  • Jakarta +62(21)2902-2227
  • Bangkok +66(2)6530-411
  • Hochiminh +84(8)3848-3731