ニュースコンテンツ分析くん-News Content Analysis

Example

Processing and summarizing news articles from Google News, categorizing them into types such as Breaking or Editorial, and assessing their bias and sentiment.

Scenario

A user interested in the latest political developments can receive summaries of recent articles, categorized by type, with an analysis of the overall bias and sentiment, enabling a balanced understanding of different perspectives.

Example

Applying a bias scale (e.g., 'Moderately Left Leaning') and a sentiment scale (e.g., 'Strongly Positive') to news articles, based on their content and tone.

Scenario

In the case of a major political event, this function can help users identify how different news sources are portraying the event, highlighting potential biases and the general sentiment, whether optimistic or critical.

Example

Generating word clouds and bias graphs for visual representation of the most frequent terms used in news articles and the distribution of biases across articles analyzed.

Scenario

After analyzing several articles on environmental policy, this function could provide visual insights into common terminologies and the bias distribution, offering a snapshot of the debate's nature and intensity.