Implementing Sentiment Analysis Using AI/ML Techniques
Project Highlights
Client Overview
A mid-sized e-commerce company was facing challenges in understanding the sentiment of their customers through reviews and feedback. With a growing user base, they needed a scalable sentiment analysis solution to provide valuable insights into customer behavior, helping them improve product offerings and customer satisfaction.
Technical Stack
Python
PostgreSQL
MongoDB
NumPy
Industry
Data Analytics
Project Duration
2 Months
Region
UK
Challenges
The client sought a scalable sentiment analysis system to better comprehend customer sentiment from the rapidly growing number of reviews and feedback.
- ➔ Data Collection and Preparation
- ➔ Feature Engineering
- ➔ Model Building
- ➔ Training the Model
- ➔ Model Evaluation
- ➔ Optimization
- ➔ Improved Customer Insights
- ➔ Scalability
- ➔ Customizability
Solution
Implemented two approaches: one using a pre-trained BERT model and another custom model to provide scalable sentiment analysis.
- ✓We assisted the client in gathering and labeling customer reviews, followed by data cleaning and pre-processing with tokenization and TF-IDF.
- ✓Text data was converted into numerical vectors using Bag-of-Words, TF-IDF, and Word Embeddings.
- ✓Developed models including Logistic Regression, SVM, and deep learning models like RNNs and LSTMs.
- ✓Data was split into training, validation, and test sets, with hyperparameter tuning to optimize performance.
- ✓Models were evaluated using metrics like accuracy, precision, recall, and F1 score.
- ✓Optimizations included hyperparameter tuning and model ensembling to boost results.
- ✓The sentiment analysis solution provided insights, improving products and customer satisfaction.
- ✓Solutions were scalable, adaptable to growing data, and flexible for fine-tuning with new data.
Conclusion
By offering these two sentiment analysis solutions, we helped the client achieve their objective of better understanding their customers’ feedback at scale. Whether utilizing state-of-the-art pre-trained models or custom-built solutions, our expertise in AI/ML allowed the client to make data-driven decisions that significantly impacted their business performance.If you are looking to implement AI/ML solutions to enhance your business operations, whether through natural language processing, computer vision, or predictive analytics, we are here to help. Contact us today to get started on your AI journey!
