You will get NLP APP that calculates dictionary based text score
Project details
Simple text annotation app will give you the power to apply niche dictionary in your text mining task. By using your dictionary of words and phrases you can customize the app to calculate a score of textual information found in the text. Possible applications:
- sentiment analysis
- opinion mining
- topic evaluation (if a text covers certain topics)
This app can be suited into your specific needs or extended to a bigger purpose. I'll be delighted to help your ideas to come true!
- sentiment analysis
- opinion mining
- topic evaluation (if a text covers certain topics)
This app can be suited into your specific needs or extended to a bigger purpose. I'll be delighted to help your ideas to come true!
Programming Languages
PythonWhat's included
| Service Tiers |
Starter
$1,500
|
Standard
$2,000
|
Advanced
$2,500
|
|---|---|---|---|
| Delivery Time | 3 days | 4 days | 5 days |
Number of Revisions | 1 | 2 | 2 |
Design Customization | |||
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$250Frequently asked questions
About Tatiana
Data Scientist | Natural Language Processing
Cambridge, United States - 11:41 pm local time
I have proven success in developing algorithms and models that utilize Machine Learning, Artificial Intelligence, Statistical Modeling, Data Analysis, Predictive Analysis, Data Manipulation, Data Mining, Data Visualization, and Business Intelligence, as well as solid experience in developing and deploying proof-of-concept NLP-based web applications.
Qualifications:
✓ coding skills in Python (scripting, Jupyter, google Colab)
✓ Python data analytics libraries (scikit-learn, pandas, numpy)
✓ Natural Language Processing tools and packages (gensim, spacy, nltk)
✓ Large language models (HuggingFace, LangChain)
✓ Deep learning libraries and toolboxes (TensorFlow, Keras)
✓ Google Cloud Platform (Machine learning APIs, Dataproc, Cloud SQL, BigQuery ML, Cloud Run, Cloud Functions)
✓ Flask, HTML, CSS, Docker, GitHub
✓ Ph.D. in Finance (University of Illinois at Urbana-Champaign)
✓ M.S.-B.S. in Mathematics and Computer Science (Lomonosov Moscow State University)
Previous projects:
➣ text information extraction
➣ sentence classification on future/past-oriented based on English grammar
➣ building data pipeline: from texts to structured database
➣ exploratory data analysis for structured and unstructured data
➣ news sentiment extraction
➣ company descriptions classification (clustering firms into industries)
➣ predict medical diagnosis codes using unstructured clinical notes with ANN and
BioBERT
I look forward to working with you.
Reach out, and let's get started!
Steps for completing your project
After purchasing the project, send requirements so Tatiana can start the project.
Delivery time starts when Tatiana receives requirements from you.
Tatiana works on your project following the steps below.
Revisions may occur after the delivery date.
Discussion and clarification of project specifications.
We will need to have a call/chat to discuss the project to make sure we are on the same page. I'll contact you within 24 hours after receiving app specifications.
Modification of the app according to received project specifications.
Within 48 hours after our discussion, I'll incorporate your project specifications and send you a link for revision.