Subtitling
Definition In marketing, AI subtitling refers to the use of artificial intelligence technologies to generate written transcripts for audiovisual content, such as videos or films. This process involves automatic speech recognition, translation and timing adjustment to help viewers understand the content better, especially non-native speakers. Thus, AI subtitling greatly improves the accessibility and reach of […]
Speech-to-Text Software
Definition Speech-to-Text Software in marketing refers to AI-powered tools that transcribe spoken language into written text. It is often used for customer service automation, transcription of meetings or webinars, and conversion optimization by analyzing consumer conversations. This technology helps in rapidly processing large volumes of data, providing detailed insights and freeing up human resources. Key […]
Sparse Autoencoders
Definition Sparse Autoencoders are a type of artificial intelligence (AI) algorithm used in marketing for feature learning. They are designed to be autoencoders but with an added sparsity constraint on the hidden units during training, forcing them to learn more robust and essential features in the data. In marketing, they can be particularly useful for […]
Sparse Coding and Dictionary Learning
Definition Sparse Coding and Dictionary Learning in AI marketing refer to a machine learning approach that involves learning dictionary entries (atoms) that are then used to give a sparse representation of a given input in the form of these atoms. In other words, the system identifies the most important elements within a dataset and eliminates […]
Sparse Coding
Definition Sparse Coding is a technique in AI often used in machine learning and signal processing. It involves representing data in a sparse manner, or in other words, with fewer non-zero elements. In the context of marketing, this can help in identifying key features in datasets to create more focused and effective strategies. Key takeaway […]
Semantic Segmentation
Definition Semantic Segmentation in AI marketing refers to the process of dividing images or visuals into multiple segments for better understanding and analysis. The primary goal is to identify and distinguish different objects or features within an image. This can be used to enhance customer targeting and personalization strategies in marketing by understanding specific elements […]
Sentiment Analysis for Social Media Marketing
Definition Sentiment Analysis in Social Media Marketing refers to the use of Artificial Intelligence (AI) to assess people’s emotions or reactions towards certain topics, products, or brands on social media platforms. It helps businesses to understand user’s perspectives by analyzing cues from user-generated content like comments, likes, and shares. This form of analysis offers insights […]
Social Media Sentiment Analysis
Definition Social Media Sentiment Analysis in AI marketing refers to the use of Artificial Intelligence to identify and evaluate opinions, emotions, or attitudes expressed in social media content towards a brand, product, or service. AI tools are used for the automatic extraction and analysis of subjective information, such as positive or negative sentiments. This data […]
Sentiment Analysis
Definition Sentiment Analysis in marketing refers to the use of artificial intelligence to identify, gauge, and understand consumer emotions towards a brand, product, or service. This is primarily done by analyzing data from social media posts, surveys, reviews, or other user-generated content. It helps businesses to predict consumer behavior, improve customer service, and tailor strategic […]
Semantic Transfer Learning
Definition Semantic Transfer Learning in AI marketing refers to the use of pre-trained AI models that have been trained on a large set of data, to understand and interpret a different, but related set of data. It allows the AI to apply its learnt knowledge and adapt it to new, unique datasets without starting from […]
