Tensorflow-Based Personality Trait Recognition Solution | ML Model

Business Impact


Customer sentiment analysis is crucial for business growth as it helps in determining customer experience and identifying customer needs.


Facial recognition and monitoring reviews of customers are common ways to determine customer attitudes about a product/service.


To get accurate results, OptiSol developed a text analytics model that collects tweets added by customers about products and performs sentiment analysis to classify customers’ emotions.


Every tweet contains an explicit and implicit emotion, and current AI models can vastly classify them into Positive, Negative, or Neutral based on the core sentiment.


But to further understand the Personality of a person deeply, our AI model works real-time providing more defined sentiments like Happiness, Sadness, Anger, Hate, Confused, etc.

Technology Stack

Solution Approach


The contents of the tweet are pre-processed, and irrelevant data are dropped.


The tweets along with their respective sentiment labels are split into Train and Test set are then passed into 3 models, namely Universal Sentence Encoder (USE), LSTM and doc2vec model.


The performance analysis is done on the models, and it is concluded that the USE model works the best among the available options.

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modeling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0






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5 yrs

in AI & ML

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