Dynamic Sentiment Dashboard

This dashboard allows you to explore the sentiment of news articles related to major tech companies (Apple, Tesla, Microsoft, Meta, Alphabet) and compare it with their stock prices.

Dataset structure: The dataset includes a company column; each row corresponds to a news item for a specific company.
Sentiment aggregation: Select a time aggregation level (Month or Year) to see how sentiment evolves over time.
NASDAQ comparison: Selecting "NASDAQ" shows the general market sentiment alongside the company-specific sentiment.
Visual insights: Top-left graph shows average sentiment score and closing price for the selected company.

Select Companies

Aggregation Level

Month Year

Select Year

Sentiment Table

Sentiment Trend

Key Findings

Some news articles refer to multiple companies, e.g., the same article may mention Apple and Tesla.
Merging news with stock prices allows analyzing correlations between sentiment and stock movements for each company.
Apple (2018, 2019, 2022): Sentiment trends generally align with closing prices, showing similar monthly patterns.
Tesla (2018, 2019, 2022): More volatility observed; sentiment aligns with stock movement but is more sensitive to news on Elon Musk’s actions.
Microsoft, Meta, Alphabet: Across periods, sentiment trends follow stock prices with moderate correlation.
The custom sentiment model is more aligned with actual stock movements compared to FinBERT, which is more influenced by word positivity/negativity.
Aggregating sentiment by month or year helps identify broader trends while reducing noise from daily fluctuations.
Including “NASDAQ” as a general market reference allows comparison of individual companies’ sentiment with overall market sentiment.