China's experience offers new prospects for Azerbaijan's agricultural sector
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
6% Center
- Politician Portrayal
N/A
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
45% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
68% : Renewable energy and smart infrastructure for agriculture also play a crucial role in enhancing agricultural productivity.68% : China's leadership in renewable energy initiatives, including solar and wind projects, coupled with its experience in battery storage and smart grids, could assist Azerbaijan in lowering costs, stabilizing energy supplies, and fostering sustainable agricultural practices.
48% : Additionally, incentivizing farmers to adopt new technologies, particularly climate-resilient practices such as drip irrigation and cold storage, could be achieved through subsidies, tax breaks, or matching grants.
37% : The cooperation between China and Azerbaijan in developing trade infrastructure can lead to improved storage facilities, refrigerated transport, and better connectivity with key markets.
34% : Additionally, advancements in e-commerce, logistics technologies, and trade facilitation can support this growth considerably.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.