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I will perform sentiment analysis and nlp text analysis with python
Data Analyst, Big Data, Statistics and Demography Engineering
Hi, I am a Data Analyst with an engineering background in Big Data, Statistics, and Demography.
I help businesses and individuals turn raw data into meaningful insights through interactive dashboards...
Sobre este Serviço
I will clean and analyze customer reviews or any text using Python NLP. My gig includes text preprocessing (removing noise, tokenization, normalization), sentiment analysis (positive, negative, neutral), and visualizations such as word clouds and frequency charts. You will receive actionable insights to better understand customer opinions. I can handle datasets of any size and deliver results in Excel, CSV, or PDF format. Perfect for businesses, researchers, or anyone needing a clear understanding of text data. Packages range from basic text cleaning to full insights with detailed analysis and recommendations.
Linguagem de programação:
Python
•
R
•
SQL
•
Colab
•
JAVA
Frameworks:
Scikit-learn
•
keras
•
PyTorch
•
Panda
Ferramentas:
caderno Jupyter
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Excel
•
Stata
•
Colab
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Perguntas frequentes
What kind of text can you analyze?
I can analyze customer reviews, survey responses, product feedback, social media comments, or any text data you provide.
What formats do you accept for the data?
I accept Excel, CSV, or plain text files.
How large a dataset can you handle?
I can handle up to a few thousand reviews per order. For very large datasets, please contact me first.
What will I receive as a final deliverable?
Cleaned/preprocessed data, sentiment analysis results, visualizations (word clouds, frequency charts), and a summary of insights. Delivered in Excel, CSV, or PDF.
Can you perform analysis in languages other than English?
Yes, I can handle most major languages, but results may vary depending on text complexity and language support in Python NLP packages.
Can I request extra revisions or custom visualizations?
Yes! Extra revisions and custom visualizations can be added as gig extras.
