Analysis of media content usage

[wtm_use_case_cats] Media content analysis is a well-developed methodology aiming at analyzing the message of the content and its connotation. The process of the media content analysis consists of three major levels: capture, understand, present. The algorithms track the patterns and coincidences in the text. After that, the data is prepared for processing. The frameworks define […]

Leveraging mobile and social media content

[wtm_use_case_cats] First of all, leveraging mobile and social media content increases the number of channels and the amount of data exchanged in real-time. In its turn, the data provide enhanced targeting capabilities. In other words, having the insights of viewers the media and entertainment companies tailor offers and recommendations to suit the needs of very […]

Collecting and analyzing customer insights

[wtm_use_case_cats] In relation to areas of media and entertainment all the comments, post, likes and dislikes, views, subscription, etc. present a vast ground for extracting the insights. The algorithms process the data, filter, classify and group the coincidences, obtain the most valuable pieces and draw conclusions allowing the media and entertainment companies to know their […]

Object detection and classification

[wtm_use_case_cats] The internet encompasses loads of information, and these vast amounts are continually growing. It hosts thousands of website and platforms dedicated to media and entertainment containing links, posts, video and audio files, films, games, and applications, etc. This fact may cause some difficulties in the search. Object detection and classification algorithms help to filter, […]

Social Media Content Distribution

[wtm_use_case_cats] Social media content distribution plays a key role in enforcing suitable marketing strategies today. Content distribution mostly depends on the analysis of social media statistics that comprises data of user behavior, experience, and interests. With the application of algorithms, companies can identify the target readers and relevant marketing channels to drive growth. Benefits for the company […]

Recommendation Engines

[wtm_use_case_cats] Modern recommendation engines use matching algorithms processing the data and attach tags to the words bearing emotional attitude as well as matching previously mentioned or searched items. On this basis, accurate, relevant and appealing recommendations and suggestions are made. The providers are eager to develop a content bearing the emotional attachment to a viewer. […]

Real- time Analytics

[wtm_use_case_cats] Real-time prediction based on current trends and behaviors from all data sources is key. Predictive modeling in particular will aid media and entertainment companies not just by allowing them to react to consumers in real time, but also to anticipate their behavior, influencing long-term investments, for instance, what kinds of movies in which consumer […]

Customer Sentiment Analysis

[wtm_use_case_cats] Media and entertainment companies must analyze the sentiments of their customer groups. Customer sentiment analysis uses advanced algorithms and machine learning techniques to analyze textual conversations and classifying posts, and messages based on the emotions hidden behind the context. This can help media and entertainment companies to increase positive mentions of their names and improve brand […]

Personalized Marketing

[wtm_use_case_cats] For media and entertainment companies, attracting customers’ attention becomes an important prerogative, especially when consumers expect quick and impressive online experiences. This is where personalized marketing algorithms come to the rescue. Such algorithms can recognize existing and new customers and extract out valuable information in real-time. Also, these algorithms can help companies to perform cross-channel […]

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