I will do python nlp data analysis text mining and sentiment analysis
About this Gig
Looking to transform raw text, transcripts, or survey data into publication-ready intelligence? You're in the right place!
As a Computational Data Analyst, I build robust Python Natural Language Processing (NLP) pipelines to uncover hidden linguistic patterns and statistical insights from unstructured textual datasets. Whether dealing with research narratives, public health data, or social media trends, I ensure maximum empirical value.
What This Gig Offers:
- Text Preprocessing: Rigorous tokenization, lemmatization, and clean filtering.
- Sentiment Analysis: Algorithmic emotional scoring (VADER/TextBlob) to track polarity.
- Thematic Mining: Extracting core concepts and keyword densities using TF-IDF.
- Statistical Validation: Quantifying metrics via t-tests and correlation profiling.
- Premium Figures: Delivering clean visuals like violin distribution and cohort charts.
Why Me? Backed by solid engineering logic, ensuring your data is mathematically accurate and tailored to meet top academic or presentation standards.
Please message me with a description of your dataset before ordering!
Programming language:
Python
Frameworks:
Scikit-learn
•
PyTorch
•
Panda
APIs:
Google Cloud Vision API
Tools:
Other
My Portfolio
FAQ
Can your NLP pipeline handle multi-lingual or regional text translation?
Yes! I can implement cross-linguistic translation mapping layers within the Python pipeline before performing textual analysis. This ensures that localized nuances are accurately captured and structured without losing native semantic value.

