Applus+ IDIADA has launched e-MOTION, a proprietary platform that provides qualitative insights into public perception of vehicles through artificial intelligence-based sentiment analysis techniques. The new commercially available service offers innovative capabilities for market analysis.
e-MOTION operates by analyzing opinions extracted from media, social networks, expert websites, and other public sources. The platform uses natural language processing algorithms, a discipline within artificial intelligence, to objectively qualify comments, opinions, and texts about vehicles.
One of the platform's most distinctive features is its versatility. e-MOTION allows both precise data analysis focused on specific vehicle attributes such as performance or comfort, as well as broader general assessments, depending on project requirements. Additionally, the platform incorporates advanced filters that enable segmented analysis by market, region, language, and source type.
The platform strengthens Applus+ IDIADA's benchmarking services portfolio by incorporating advanced analysis and automation capabilities related to vehicle social perception. This enhancement delivers more accurate results with differential value, translating into greater operational efficiency and savings in time and resources for the automotive industry. As a system-agnostic platform, the underlying technology is fully exportable to other business sectors, extending its applications beyond the automotive and mobility sector.
Xavier Vizcaino, Senior Manager of Digital Business, emphasizes that "e-Motion is the result of IDIADA's innovative spirit, of always going beyond our own limits, and of the company's commitment to lead the transformation of the industry through artificial intelligence. This provides us with cutting-edge solutions that open up new avenues of growth for the company."
The e-MOTION vehicle senteiment analysis platform represents Applus+ IDIADA's commitment to leading industry transformation through artificial intelligence, offering automotive industry objective insights into vehicle perception that supports data-driven decision making in an increasingly competitive market.
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