Text analyzing 1000 comments with the neticle Semantic API takes 2 mins and 9000 HUF.

I really don’t like the Telco Company’s mobile internet. 4g is still a dream my apps are useless with their service. The coverage is really awful, I can not use in the office nor at home. Though I am still satisfied with their customer service, they are really kind and proactive with my problems.

Sentiment analysis and text mining as a service

The Neticle Semantic API provides market leading, human-level accurate sentiment and semantic analysis toolkit for in-house corporate use being integrated into internal system of a customer.

Easy integration

Easy integration

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Send text to API

Send text to Neticle Semantic API

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Visualize the result

Visualize the text analysis results in your system

Applications

By integrating Neticle Semantic API you can enhance your data analysis

Customer feedback analysis

Understand customers' pain points, key issues and their opinion regarding your services from textual feedbacks (Facebook posts, tweets, forum comments, SMS, email)

Email categorization

Deal with the email overload generated by customers (feedback, questions and problems) without reading them! Forward emails automatically to the right people with our unique content-based labels.

News analysis

Get deeper understanding of you brand-related media mentions, including sentiment, brand evaluation, key topics and attributes.

Patient database analysis

Patient records include textual parameters. Analyze them with our API to reveal connections and focus points in patient history.

Market research open-ended question analysis

Analyzing open-ended survey questions manually is time consuming. Reduce time and cost while creating a comprehensive summary of responses without wasting human resources.

Product review evaluation

See the deal-breaker attributes of your product, understand what costumers like or dislike based on written reviews (webshop evaluation, forum comments, loyality surveys)

Text analysis features

I really don’t like the Telco Company’s mobile internet. 4g is still a dream my apps are useless with their service. The coverage is really awful, I can not use in the office nor at home. Though I am still satisfied with their customer service, they are really kind and proactive with my problems.

Sentiment analysis

In a text opinion phrases are recognized. Every positive and negative phrase is given an opinion index between -3 and +3 based on the opinion’s strength. The sum of these scores implies how positive or negative is the whole text.

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I really don’t like the Telco Company’s mobile internet. 4g is still a dream my apps are useless with their service. The coverage is really awful, I can not use in the office nor at home. Though I am still satisfied with their customer service, they are really kind and proactive with my problems.

Keyword oriented sentiment

If You want analyze the opinions about a specific keyword (brand, product, company, person, etc.) by giving the synonyms and variants (spellings, mispellings) of the keywords only the phrases and labels related to the keyword are analyzed not the whole text.

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I really don’t like the Telco Company’s mobile internet. 4g is still a dream my apps are useless with their service. The coverage is really awful, I can not use in the office nor at home. Though I am still satisfied with their customer service, they are really kind and proactive with my problems.

Tagging

Service and product attributes (for example: screen, bandwidth), key topics (for example: 3G, mobile payment) are recognized inside the text.

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Gender Recognition

Identify the gender by a (user)name

Stemming

Get the stemmed version of a text

Language recognition

Checking automatically the language of a text

Text summarization

Get the extract of lot’s of feedback or news

Contact Us

Neticle Labs Ltd.
Leonardo da Vinci 41. (2nd floor/14)
Budapest 1082, Hungary

Péter Szekeres
lead researcher
peter.szekeres@neticle.hu
+36 70 701 6488