How It Works | IntenCheck Guide
The IntenCheck is a lexicon-based sentiment engine which provides a detailed analysis of texts and shows users what effect the words they use have on their readers. By using statistical methods the system identifies and characterizes the sentiment content from the text analyzed.
IntenCheck text analysis allows the user to:
- Evaluate the emotional characteristics of a text
- Detect personal characteristics of the writer
- Measure the effectiveness of the author’s communication by:
a. comparing of the author’s intentions to impact;
b. matching characteristics of the text of the user to the communication style of the respondent(s).
IntenCheck monitors 7 different categories of content analyses within a text, which are arranged into 2 groups.
Semantic differential is a type of a rating scale designed to measure the connotative meaning of objects, events, and concepts. IntenCheck can determine the attitude of the author of the text toward the subject using 3 scales: positive-negative, active-passive, and strong-weak.
IntenCheck detects 6 primary emotions: joy, surprise, anger, sadness, disgust, and fear so you know exactly how customers feel about your brand, campaign, and even your competition.
Anger – evoked due to injustice, conflict, humiliation, negligence or betrayal. If anger is active, the individual attacks the target, verbally or physically. If anger is passive, the person silently sulks and feels tension and hostility.
Sadness – indicates a feeling of loss and disadvantage. When a person can be observed to be quiet, less energetic and withdrawn, it may be inferred that sadness exists.
Fear – a response to impending danger. It is a survival mechanism that is a reaction to some negative stimulus. It may be a mild caution or an extreme phobia.
Disgust – an emotional response of revulsion to something considered offensive or unpleasant. It is a sensation that refers to something revolting.
Surprise – evoked as the result of an unexpected event. Surprise can have any valence; that is, it can be neutral/moderate, pleasant, unpleasant, positive, or negative. Surprise can occur in varying levels of intensity ranging from very surprised, which may induce the fight-or-flight response or little surprise that elicits a less intense response to the stimuli.
Joy – joy or happiness has shades of enjoyment, satisfaction, and pleasure. There is a sense of well-being, inner peace, love, safety, and contentment.
IntenCheck checks if a text appears to be sincere or not, by comparing the number of words with vague or unspecific meaning to the general language norms or saved profiles.
Insincerity is measured on 0-100 scale. The results from 80-100 show a high probability of insincere text.
Refers to the four main ways in which we all process information. Some people tend to use more visual words, some use more auditory words and some tend to describe their feelings (kinesthetic). The IntenCheck sentiment engine detects these 4 communication styles: visual, auditory, kinesthetic, and rational.
Visual: language that creates pictures inside our mind.
Auditory: language that creates sounds inside our mind.
Kinesthetic: language that refers to the feelings that we feel inside our bodies.
Rational: language that refers to logical thinking and thoughts.
Timeline refers to the way a person thinks about time. IntenCheck detects past, present, and future preferences within a text. Each tense is measured on a scale from 0-100. The results from 80-100 show a high probability of a certain Timeline position.
Motivation refers to the way people are motivated either by moving away from something they don’t desire or by moving towards something that they want. IntenCheck shows the direction of motivation expressed in the text: away or towards. Each part is measured on a scale from 0-100. The results from 80-100 show a high probability of a certain Motivation.
In communication, it’s important to understand how a person communicates from the inside out, either from his own viewpoint or from other perceptual positions. Each part is measured on a scale from 0-100. The results from 80-100 show a high probability of a certain Perceptual position.
IntenCheck detects 4 different perceptual positions: I, II, III, IV.
I – I, mine, self.
II – he, she, his, her, one, you, yours.
III – them, they, their.
IV – us, we, our.
For easier visualization, IntenCheck uses a scale from 0 to 100 (Value x 100). The scale is then broken down into 5 gradations and results are visualized using a thermometer scale for each gradation as per table below.
|0 – 5||Very Low||Contains very little statistical evidence. Very low probability to be perceived as a certain category.|
|6 – 20||Low||Below language norm. Low probability to be perceived as a certain category.|
|21 – 80||Normal||Within the language norm.|
|81 – 95||High||Above language norm. More likely to be perceived as a certain category.|
|96 – 100||Very High||Definitely statistically significant. Very high probability to be perceived as a certain category.|
For sentiment analysis of the text, the IntenCheck engine uses language templates. A template is a generalized preference for communication that is common for a specific group of people, compiled from a massive language array. These are, for example, a group of people related professionally, demographically, or by some other characteristic and categorized by distinctive language attributes. Language templates can vary depending on the specific contexts – business, psychology, medical, scientific, etc.
IntenCheck uses an American English language template as a baseline. This template was created by analyzing a significant amount of literature used by the American High School curricula as well as periodicals.
By using language templates, the IntenCheck engine calculates language norms for each group of categories. The language norm is a relative frequency of words from a specific category in the text.
Other specific language templates available are Business, Psychology, Young Readers. Users can also respond to a specific person by using the email(s) they received from their respondent and the engine will automatically compile a unique language norm which will be used in that case ('Smart Reply' feature). These unique language norms can also be saved as profiles and improved upon later, by adding more examples of texts or emails written by the same person.
Example of use
Improve the tone and communication style of the email.
Below is an example where a sales manager is writing a reply email to a dissatisfied customer. It was analyzed using 7 group of categories provided by the IntenCheck Professional online version.
The analysis showed that the initial email was Angry, Sad, Negative and too Rational which could lead to a permanent loss of a valued client. It also shows a dominant Perceptual Position I (I, me).
It was then modified using the suggestions provided by the IntenCheck system and the final answer was much more Joyful and Positive, with the unifying perceptual Position-IV (we) dominating. This could change the situation with this customer to a positive outcome.
I am sorry to bother you with my emails.
I clearly see that you are displeased with the result, it’s quite alarming. I really want to find an answer to this problem as soon as possible.
Please excuse me and my colleague, for the previous email. It might sound a bit unpleasant, but I am sure he didn’t mean what he wrote, and he is very upset and frustrated about this outcome.
To resolve this issue, I would like to offer you service that is free of charge, for the first 6 months. After that, you will be able to decide whether you would like to continue further collaboration or not.
Please do not hesitate to provide any feedback and thoughts on this proposal.
I am looking forward to your reply.
Enterprise Solutions Sales Manager
There is strong statistical evidence that email is very Negative (91).
The results of Anger (96) and Sadness (94) represent the likelihood that these emotions are present within the text.
Communication style results show that it’s above Rational (99) norm.
Perceptual positions results show the dominant Position I (99). The Position I (I, me) emphasizes the separation in communication.
Summary of the initial email results
Although the intention of the initial manager's reply was to resolve the issue and improve the relationship with the customer, the IntenCheck results show completely the opposite which could cause more problems with the client.
I hope you are doing well.
We would like to thank you for an invaluable feedback and wish to resolve this situation as soon as possible.
Please excuse my colleague for the previous email. We totally understand your point of view. From what I see, it looks like he didn’t mean what he wrote to you. Nevertheless, we are optimistic about how we can turn this around to make you happy with all the aspects of our proposal.
To resolve this, we are delighted to offer you our services free of charge for the first 6 months. after accomplishing this, we can focus on discussing your experience with us and decide towards any future collaboration.
Please do not hesitate to provide additional feedback and your thoughts on this proposal. we strive to provide excellent services to our clients to have a wonderful experience.
I am looking forward to your reply and I am truly excited to work with you.
Enterprise Solutions Sales Manager
There is a shift from Negative (4) to a more Positive (99) result which can be confirmed that there is strong evidence of positivity in the updated email.
The likelihood of Joy (100) present in the modified email is much higher compared to the original version. The Anger (20) and Sadness (34) are within the language norm and can be considered as a normal level.
The unifying (We) Position IV (100) now is the dominant one.
Summary for the modified email by using IntenCheck
The modified email is now more joyful and positive and creates a better tone with the customer which can lead to an improved communication.
Currently, only English text can be analyzed.
Getting started with the IntenCheck
To use the IntenCheck Basic free version, please sign up for our service here which will allow you access to 6 categories of Attitude analyses: Positive - Negative; Active - Passive; Strong - Weak.
To sign up for IntenCheck API please contact us and we will provide you with further information on how to obtain the API key.
Creating an account with IntenCheck is simple—and completely free. Once you’re signed up, you’ll have access to the IntenCheck Basic version which will allow you to analyze text across six categories of Attitude for free. However, upgrading to our Professional version will provide all 26 categories of results and allow you to have access to the advanced features such as custom language templates, individual profiles, Smart Reply and more.
Sign up today and discover how IntenCheck can reveal hidden information within the text.