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FinPulse Multilingual Sentiment Analysis | Projects
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finance
nlp
sentiment-analysis

FinPulse Multilingual Sentiment Analysis

Multilingual financial sentiment analysis system for market intelligence.

Role: NLP Engineer
Duration: 3 Months
Team: 2
Source Code
Published
Oct 2025
Primary category
finance

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Overview

Provides sentiment analysis across multiple languages for financial market intelligence.

Core Capabilities

  • Multilingual NLP sentiment detection
  • Financial data integration
  • Reporting dashboards

The Challenge

Difficulty in understanding market sentiment across multiple languages.

The Solution

  • 1Multilingual transformer models
  • 2Domain adaptation

Key Features

Multilingual sentiment detection
Market insights
Dashboard visualization

System Architecture

Transformer-based NLP pipeline, Python backend, Postgres

Key Learnings

  • Cross-lingual NLP
  • Sentiment analysis optimization

If I rebuilt this today

Future improvements: more languages, real-time dashboards

Challenges Overcome

  • Language diversity
  • Data imbalance
  • NLP model generalization

Links

Source, demo, and reference links.

Source Code

Technologies

Python
Transformers

Project Work

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