A sentiment analysis tool for Persian news, predicting market trends
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Updated
Nov 2, 2024 - Jupyter Notebook
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financial-news-analysis
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A new package is designed to analyze financial news headlines and extract key structured information such as company names, financial targets, timeframes, and goal updates from text inputs. It simplif
sentiment-analysis text-extraction data-summarization structured-data-extraction financial-news-analysis nlp-natural-language-processing headline-parsing company-name-identification financial-targets-extraction goal-updates-detection timeframe-extraction market-sentiment-monitoring financial-forecasting-tracking automated-news-processing automated-financial-insights decision-support-tool real-time-financial-monitoring text-to-data-conversion entity-recognition-ner financial-keyword-extraction
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Updated
Dec 21, 2025 - Python
fin-trend-analyzer analyzes financial news and sentiment to identify trends and risks in AI and tech stocks, providing structured insights for quick market assessment.
sentiment-analysis pattern-matching sentiment-scores market-trends technology-stocks financial-news-analysis risk-identification structured-insights consistent-output text-input-processing reliable-output automated-parsing ai-stocks key-risk-factors trend-summaries investor-tools analyst-tools market-perceptions bubble-indicators
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Dec 21, 2025 - Python
Regime-based evaluation framework for financial NLP stability. Implements chronological cross-validation, semantic drift quantification via Jensen-Shannon divergence, and multi-faceted robustness profiling. Replicates Sun et al.'s (2025) methodology with modular, auditable Python codebase.
natural-language-processing deep-learning reproducible-research transformers pytorch lstm quantitative-finance evaluation-metrics stock-prediction time-series-analysis market-analysis distilbert model-robustness sentence-transformers financial-nlp ai-in-finance model-governance financial-news-analysis regime-detection semantic-shift
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Updated
Oct 3, 2025 - Jupyter Notebook
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