
We
often feel sad, moody or low from time to time. Some people experience these
feelings intensely for long periods of time and sometimes without any apparent
reason. Depression is not just a low mood – it’s a serious condition that
affects your physical and mental health. 1 in 4 worldwide will suffer from a
mental health condition in their lifetime. A person with a “learned pessimism”
style of thinking always gets depressed. This pessimistic thinking can come due
to various reasons – family problems, medical illness, drug and alcohol use and
personality etc.
So how about having a counsellor with you that
tries to get more insights about your problem and give you techniques that can
help you in stress.
Considering how complex these systems are to build, NLP Models can not replace rather they will assist diagnosticians.
Strategies of Depression:
Psychologists
have formulated down the below mentioned strategies which can bring negativity
to a person’s mind:-
1.
Chunk Up in Problem
Situation:
Imagine a situation where a person applies for a job. A person with a negative
thinking would say, “No one would employ me.” Or “Why do I always do something
wrong?” while a person with temporary explanatory style thinking might say, “I
hadn’t allowed myself the time to prepare well enough for the interview.” The
person who gets depressed mainly thinks about problems, so they chunk up in
their goals setting unrealistic outcomes for day to day problems.
2.
Inclination towards the
Past: The depressed person is always stuck at his
past. He never tries to move forward. In his present situations he brings
instances from his past for e.g. “I know why I am unhappy; it’s because I never
got over my breakup.”
3.
Negative Self Talk: A person differs from the other in the amount
they pay attention to their internal self talk. Rumination is a deep thought
about something. Rumination has no problem in itself but when combined with
permanent pessimistic thinking creates problems. They sense a feeling of
helplessness all the time. The more they try to ruminate, the more it arises
and the more depressed the person will feel for e.g. If a person ruminates on
something upsetting his close ones has done, he may take longer time to forget
and in worst case may try to hold a grudge and might even destroy a
relationship.
4.
Lack Of Sense Of Control: A person who is often depressed lack a sense
of himself in making decisions. Whenever they engage in an activity they mainly
think of the output coming as a bad result for e.g. “If I take up this task I
may not be able to finish it and may have bad consequences.” Or “What is the
point of doing this task when you know it won’t terminate in the way it should
have been.”
NLP Approach:
By
looking at the above strategies we get to know that the depression arises by
the beliefs that things can’t change. The key to heal depression is to make
positive thoughts arouse in person’s mind, to make them look ahead in future
and not let them think too much about something.
Using
NLP we can parse, tag and extract information from. It can be used in
question-answering mechanism. To answer questions related to mental problems or
to ask questions based on user’s problems; NLP model must be applied to some
training data to analyze the linguistics aspects of conversations between a
person and a counsellor.
Experiments and Analysis:
Researchers
from Stanford University conducted an experiment on counselling conversation strategies
that can be put to use for an application of NLP. They collected data from an
SMS texting-based counselling service where people in depression engage in
therapeutic conversations with counsellors. The data consisted of millions of
messages from 80,000 conversations with counsellors.
They
analyzed that to make NLP application powerful in dealing with the depressed
person following actionable strategies must be looked into:-
1.
Adaptability: Measuring distance between
vector representation of the language used in conversations going well and
going badly. Good counsellors tend to be more sensitive while seeing the
trajectory of the conversation and they react to it accordingly.
2.
Dealing with Ambiguity: A clustering method can be developed
to measure differences in how counsellors respond to similar ambiguous
situations.
3.
Creativity: Good Counsellors try to
answer in a more creative way by not giving too generic reply for e.g. Rather
than asking “Would no one employ you?” the counsellor should focus on
counter-example “When has there been a time that someone did employ you?”
4.
Making Progress: A sequence-based unsupervised conversation model can
be developed to discover ordered conversation stages common to all
conversations. After the conversation ends, counsellor may ask a follow-up
question “How are you feeling now?” which can be used to compute the efficiency
of the application and can improve future conversations.
Challenges:
·
It is difficult to monitor the behavioural changes of the depressed person
continuously throughout the conversation.
·
Sometimes it may happen that the same response may not fit in every
situation. So, a model must be powerful enough to handle situations like these.
Real Life Systems:
·
IBM Watson is a question answering
system developed by IBM that can answer questions posted in natural language.
It is used in decision making in lung-cancer treatment at Memorial Sloan
Kettering Cancer Centre, New York.
·
Siri is a personal assistant developed by Apple. It uses voice queries and
a natural language UI to answer questions, make recommendations and perform
actions by delegating request to Internet.
Considering how complex these systems are to build, NLP Models can not replace rather they will assist diagnosticians.
References:
1.
Natural Language Processing in Mental Health Applications using
non-clinical texts - Rafaela. Calvo, David N Milne, Sazzad M. Hussain and
Helench Christen Sen.
2.
American Psychiatric Association Diagnostic Criteria from DSM-IV TM,
American Psychiatric Association, Washington DC, 1994.
3.
Large Scale Analysis Of Counselling Conversations: An application of Natural
Language Processing to Mental Health – Tim Althoff, Kevin Clark, Jure Leskovec.
4.
Karthik Dinakar, Allison J.B. Chaney, Henry Lieberman, and David M.
Blei. 2014a. Real-time topic models for crisis counselling in KDD DSSG Workshop.
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