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Design Example: Automobile Ignition System01:14

Design Example: Automobile Ignition System

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The automobile's ignition system plays a vital role by ensuring the timely ignition of the fuel-air mixture in each cylinder. This ignition is facilitated by a spark plug, which is composed of two electrodes separated by an air gap. A spark forms across this air gap when a substantial voltage is generated between the electrodes, leading to the ignition of the fuel.
One can generate a large voltage using a car battery of 12 volts with the help of inductors. Inductors are known for opposing...
528
Subliminal Perception01:15

Subliminal Perception

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Subliminal perception refers to the processing of sensory information that occurs below the level of conscious awareness. Researchers study subliminal perception by presenting a stimulus, such as a word or image, very quickly, typically around 50 milliseconds. This rapid presentation is often followed by another stimulus, such as a pattern of dots or lines, which blocks further mental processing of the initial stimulus. As a result, if participants cannot identify the initial stimulus better...
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Factors Affecting Perception01:25

Factors Affecting Perception

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Perception is influenced by perceptual set, context, motivation, and emotion. Perceptual set, or perceptual expectancy, refers to the tendency to perceive things in a particular way, influenced by previous experiences and expectations. This phenomenon affects the interpretation of stimuli, creating a set of mental tendencies and assumptions that impact sensory perceptions of sound, taste, touch, and sight.
An illustrative example of a perceptual set is the scenario where an airline pilot told...
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Perception01:28

Perception

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
Bottom-up processing begins at the sensory level, where receptors detect external environmental stimuli. These could include the tactile sensation of...
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Gestalt Principles of Perception01:21

Gestalt Principles of Perception

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Gestalt principles provide a framework for understanding how humans perceive objects as unified wholes within their context. These principles are essential in explaining the cognitive processes that make sense of complex visual stimuli by organizing them into coherent groups. One fundamental principle is proximity, which posits that objects located close to each other are perceived as a collective group. For instance, when dots are positioned near one another, the visual system interprets them...
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Machines01:19

Machines

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Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
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Updated: Jan 21, 2026

Creating Objects and Object Categories for Studying Perception and Perceptual Learning
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機械学習を用いたTwitterデータによる自動車ブランド知覚分析のための顧客センチメント定量化

Sujith Samuel Mathew1, Kadhim Hayawi2, Neethu Venugopal1

  • 1College of Interdisciplinary Studies, Zayed University, Abu Dhabi, United Arab Emirates.

Scientific reports
|January 19, 2026
PubMed
まとめ

本研究では、自動車ブランドに対する顧客の認識を追跡するために、Twitterデータのセンチメント分析を用いたブランド極性スコア(BPS)を導入します。BPSは、ブランドポジショニングとセンチメントのダイナミクスに関するリアルタイムの洞察を提供します。

キーワード:
ブランド知覚顧客極性市場調査センチメント分析

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科学分野:

  • ソーシャルメディア分析
  • ブランドマネジメント
  • 自然言語処理

背景:

  • ソーシャルネットワーキングサイトは、世論とブランド知覚にとって不可欠です。
  • ブランドマネージャーは、これらのプラットフォームを消費者の洞察に活用しています。
  • 顧客センチメントの理解は、ブランド戦略にとって重要です。

研究 の 目的:

  • 自動車ブランドに対する顧客センチメントの定量的尺度を開発すること。
  • Twitterデータのセンチメント分析を用いてブランド知覚を評価すること。
  • 動的なブランド監視のための加重「ブランド極性スコア」(BPS)を導入すること。

主な方法:

  • 主要な5つの自動車ブランドのTwitter(またはX)データにセンチメント分析を適用しました。
  • ブランド極性スコア(BPS)モデルの開発。
  • ツイートの影響力(エンゲージメント指標、著者のフォロワー数)によってBPSに重み付けを行いました。

主要な成果:

  • BPSは、ブランドに対する顧客のセンチメント(肯定的/否定的)を効果的に定量化します。
  • このスコアは、ほぼリアルタイムでのブランドポジショニングとセンチメントの追跡を提供します。
  • 検証により、さまざまな評価を通じてBPSシステムの堅牢性が確認されました。

結論:

  • 提案されたブランド極性スコア(BPS)は、ブランド知覚を監視するための貴重なツールです。
  • BPSは、進歩的かつ競争的なブランド分析を容易にします。
  • このシステムは、デジタル時代におけるブランドダイナミクスの包括的な理解に貢献します。