India Sees Vast Potential for Collaboration with Canada in Emerging Technologies: Commerce Minister Piyush Goyal - Express Computer
- Bias Rating
- Reliability
5% ReliableLimited
- Policy Leaning
-88% Very Left
- Politician Portrayal
N/A
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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
72% Positive
- Liberal
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
69% : He mentioned that India's ambition to double clean energy capacity to 500 GW by 2030 positions the country as a trusted and sustainable partner, and that India is among the few democracies capable of offering genuine 24-hour clean energy at globally competitive rates.63% : Union Minister of Commerce and Industry, Piyush Goyal, addressed the Indo-Canadian Business Chamber in New Delhi, highlighting the immense scope for cooperation in sectors like critical minerals, mineral processing technologies, clean energy, nuclear energy, and supply-chain diversification.
61% : He stated that India's development model rests on macroeconomic stability, inclusive and sustainable growth, and welfare measures that ensure 140 crore citizens participate in the nation's progress.
61% : The Minister stated that both countries should identify focused areas of collaboration, including critical minerals, clean energy, aerospace, defence, and manufacturing under the Make in India programme.
58% : Goyal underlined that India's national power grid of 500 GW, including 250 GW of clean energy capacity, provides the resilience required for AI-driven infrastructure.
43% : Referring to the seventh Ministerial Dialogue held earlier this month with Canada's Minister of International Trade, Goyal highlighted that both sides agreed to reinvigorate business-to-business engagement and explore two-way business delegations.
*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.
