Aiaioo Labs

Intention Analysis

Intention Analysis is the identiﬁcation of intentions from text.

Ten intentions are listed in the following slides.

Early detection of the intent to complain or quit can help prevent customer churn.

There are brand metrics that can be estimated using intentions.

Sales leads can be collected using intentions.

So can competitive intelligence.

Intention Analysis algorithms can be resistant to noise and so can be used for crisis monitoring.

We offer sentiment analysis in ten languages but intention analysis is available only in English.

Purchase Intention

The first commercial Intention Analysis product from Aiaioo Labs was a single-intention product deployed in early 2011 to generate leads from Twitter and Facebook feeds.

The result was a consistent click-through-rate of 7% on advertisement directed at the leads that had been identified.

In comparison, click-through-rates for advertisements on social media keep at around 0.01%.

Example

The sentence "I want to buy a new phone" reveals an intent to purchase.

Aiaioo Labs' Intention Analysis API can detect that:

The intent is to purchase.
That the object of the intent to purchase is a 'phone'.
That the holder of the intent to purchase is 'I'.

Links

Inquire Intention

The detection of the intention to inquire allows you to spot any questions as they come in. The technology can be used to manage communications in call centers so that executives can check off any customer questions and ensure that all queries have been responded to.

Example

The sentence "Does the iPod 16GB Wifi model come with cameras on it?" reveals an intention to elicit information (to inquire).

Aiaioo Labs' Intention Analysis API can detect that:

The intent is to inquire.
That the object of inquiry is the 'iPod 16GB Wifi model'.

Additional Uses

An analysis of the most frequent topics that are the object of inquiries helps optimise the presentation of information from an SEO and SEM perspective, and the location of links to FAQs and information banks.

Direct Intention

The intention to direct is observed when a request is being made, or an order is being given, or an operational directive is being issued.

This technology can be used to identify business processes that self-service tools are not adequate for.

Direct intention can also be used to turn phones into personal assistants.

Example

The sentence "Contact us at sales@aiaioo.com" is a directive.

Aiaioo Labs' Intention Analysis API can detect that:

The intent is to direct.

Additional Uses

Here's an article on why filtering out directives might be a good idea when doing sentiment analysis.

By the way, the next slide is full of directives.

Opine Intention

One of the intentions we can detect is the intention to express an opinion about something. This is another name for sentiment analysis.

The opinion intention is processed by the VakSent engine for sentiment analysis.

VakSent can detect entity level sentiments and the holder of the sentiment. It also handles negations as shown in the example.

Example

The sentence "I can't say I don't like the C40 camera" expresses a positive opinion.

Aiaioo Labs' Intention Analysis API can detect that:

There is intent to opine and the polarity of the opinion is positive.
That the object of the opinion is a 'C40 camera'.
That the holder of the opinion is 'I'.

Links

Compare Intention

The intention to compare has traditionally been studied as a part of sentiment analysis.

However, we treat comparisons as an expression of an intention to compare.

Detecting the intent to compare helps us identify alternatives to products and brands.

Example

"The C40 camera is much better than the M40" is a comparison.

Aiaioo Labs' Intention Analysis API can detect that:

There is intent to compare.
That one of the objects in the comparison is a 'C40 camera'.
That the other object is an 'M40'.

Links

Sell Intention

It is very important to detect the intent to sell before compiling sentiment reports.

In certain industries like automobiles, a large percentage of mentions of a brand are sales pitches that typically go like this:

"Excellent 2003 Toyota Prius for sale."

It would be quite misleading to count that as an expression of positive sentiment by a customer.

Example

The sentence "Soggy 2003 phone for sale" reveals an intent to sell.

Aiaioo Labs' Intention Analysis API can detect that:

The intent is to sell.
That the object of the intent to purchase is a 'Soggy 2003 phone'.

Links

Post on why detecting sell intention is important for sentiment analysis.

Wish Intention

The wish intention can be seen when someone wishes for something that is not really attainable or is not for sale.

An example would be when someone wishes they were vacationing on a beach somewhere far away.

Wish intentions can be used to detect sales opportunities in service industries.

Example

The sentence "I want to be a thousand miles away from here" is a wish.

Aiaioo Labs' Intention Analysis API can detect that:

The intent is to wish.
That the object of the wish is a 'to be a thousand miles away from here'.
That the holder of the intent to purchase is 'I'.

Experiments have shown that we can reliably detect wish intentions distinctly from purchase intentions.

The features of the Intention Analysis API and performance figures can be seen below.

Quit Intention

Identifying the intention to quit is useful for churn prediction. We provide tools for detecting quit intention in sentences, for example, when a person threatens to close an account, or when they mention an intent to switch to using an alternative product or service.

Let me Count the Ways

Examples of sentences with quit intention show how varied the expressions that people use to indicate an intent to quit might be:

I'd like to terminate my account forthwith.
I'll never buy another Slug ever again.

One particularly difficult case of quit intention is the case where the quit intention only becomes clear when you examine multiple sentences.

An example is the pair of sentences "Bye bye Zebook! Welcome Boogle+!!!"

Another is the sentence "I want to buy a Brownberry. #ihatemyiphone"

Even we can't automatically identify these (yet)!

The Intention to Accuse

The intention to criticize is nothing but the intention to express a negative opinion.

The intention to complain is observed when a person gives voice to a problem.

The intention to accuse takes it a step further in that the affected party also faults/blames someone.

Uses

Churn modeling
Customer service

Complain Intention

Identifying the intention to complain is useful in social CRM applications. We provide tools for detecting complaints in forums and online, for example, when a person tweets about a low quality cell phone network.

Let me Count the Ways

Complaints are very domain dependent, and so require additional tuning for each domain of use. Examples of complaints are:

The server is down.
The cheque did not arrive.
My phone went dead.

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Enhance your Business using Intention, Event and Sentiment Analysis

Sign up to use the API

Contact us at sales@aiaioo.com

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Features

The Aiaioo Labs Intention Analysis engine is capable of identifying ten intentions and can process social media messages at upwards of a million messages per server per day, making our offering one of the faster text analytics offerings around.

The Intention Analysis engine is tuned for noise cancellation since it is meant to be used on social media data which is very noisy. So, it provides high precision and moderate recall.

The comprehensive text analytics offering is called VakText. It consists of the following APIs:

VakIntent for Intention Analysis
VakSent for Sentiment Analysis
VakEvent for Event Analysis

Sentiment Analysis is offered in 10 languages.

Precision
Recall

VakIntent Precision

Precision scores are over 80% for some intentions. Precision is linked to noise reduction. When an intention is identified, it is likely to be right 8 out of 10 times.

Purchase	81.22%
Wish	84.7%
Inquire	86.41%
Direct	85.1%
Complain	85.37%
Sell	67.92%
Compare	65.78%
Quit	44.00%

VakIntent Recall

The recall scores are around 40% for some intentions. This means that more than one in three messages bearing those intentions will be identified.

Purchase	35.68%
Wish	40.5%
Inquire	34.21%
Direct	45.74%
Sell	36.39%
Compare	28.71%
Quit	27.8%
Complain	39.83%

Choose Your Plan

Send your name and contact details to sales@aiaioo.com and mention your preferred plan to help us set you up with an account.

Alternatively, call us at +91-80-4125-0730. Working hours are Monday to Friday, 9 to 5 Indian Time (GMT + 5:30).

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Evaluation

$0
per server per month
- For evaluation only
- VakText APIs
  
  VakIntent, VakSent and VakEvent
  
  [ sentiment in 10 languages ]
- 1,000 sentences
  
  Maximum daily sentences
Support Included
Professional

$250
per server per month
- For brand owners and agencies
- VakText APIs
  
  VakIntent, VakSent and VakEvent
  
  [ sentiment in 10 languages ]
- 1,000,000 sentences
  
  Maximum daily sentences
Uptime Guarantee and Support
Premium

$1000
per server per month
- For middleware vendors
- VakText APIs
  
  VakIntent, VakSent and VakEvent
  
  [ sentiment in 10 languages ]
- 4,000,000 sentences
  
  Maximum daily sentences
Uptime Guarantee and Support

Intention Analysis

Purchase Intention

Example

Links

Inquire Intention

Example

Additional Uses

Direct Intention

Example

Additional Uses

Opine Intention

Example

Links

Compare Intention

Example

Links

Sell Intention

Example

Links

Wish Intention

Example

Quit Intention

Let me Count the Ways

The Intention to Accuse

Uses

Complain Intention

Let me Count the Ways

Enhance your Business using Intention, Event and Sentiment Analysis

Features

VakIntent Precision

VakIntent Recall

Choose Your Plan

Research and Design Services in

Artificial Intelligence

Evaluation

VakText APIs

1,000 sentences

Professional

VakText APIs

1,000,000 sentences

Premium

VakText APIs

4,000,000 sentences

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