What is Text Mining?
Text mining is the process of extracting information from text. A range of terms is common in the industry, such as text mining and information mining. The analysis processes build on techniques from Natural Language Processing, Computational Linguistics and Data Science.
Why is Text Mining important?
In a business context, techniques from text mining can be used to extract actionable insights from textual data. The data in question can be online data, such as tweets, news articles and blogs. Here, the key insight lies in how people online are discussing and talking about your business and brand, on an Internet-wide scale. Proprietary data, such as customer satisfaction or employee satisfaction reviews, also holds key insight, as does historical textual data.
It is easy to analyse numerical data, such as conversion rates, using a range of industry-standard techniques. Analysing text, where people express their feelings, opinions and reasons is much more difficult. However, the potential for insight is infinitely greater. For example, what are the main reasons a conversion rate, or repeat business, is dropping?
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How does Gavagai handle Text Mining?
A range of different insights can be mined from a text, but here at Gavagai, we focus on what is the most actionable. What are people talking about in the data? And how are they talking about it? What are their opinions? Are they satisfied or dissatisfied? We use techniques from Natural Language Processing and Data Science, to answer the above questioned in a structured, ordered, quantifiable way.
Topic modelling allows us to detect the key topics that are mentioned in any given set of texts. It is domain independent, so is able to work well on any kind of textual data. In addition, our users have a high amount of control over the model which is used, with full adaptability to the data in question.
Sentiment analysis (also known as opinion mining) allows us to automatically analyse the opinions expressed in the same texts. Combined with our state-of-the-art topic modelling and our topic-based sentiment analysis, our Explorer permits you to gain pinpointed insight into what is actually driving satisfaction in your business.
Gavagai Explorer offers text mining in many languages such as: Azerbaijani, Albanian, Arabic, Bengali, Bulgarian, Catalan, Chinese, Croatian, Czech, Danish, Dutch, English, Estonian, Farsi, Finnish, French, German, Greek, Hebrew, Hindi, Hungarian, Icelandic, Indonesian, Italian, Japanese, Javanese, Korean, Latvian, Lithuanian, Malay, Norwegian, Polish, Portuguese, Romanian, Russian, Serbian, Slovak, Slovenian, Spanish, Swahili, Swedish, Tagalog, Thai, Turkish, Ukrainian, Urdu, and Vietnamese.
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