BOOK A MEETING FR 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. …
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Leveraging mobile and social media content
BOOK A MEETING FR 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 …
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Collecting and analyzing customer insights
BOOK A MEETING FR 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 …
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Object detection and classification
BOOK A MEETING FR 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 …
Social Media Content Distribution
BOOK A MEETING FR 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 …
Recommendation Engines
BOOK A MEETING FR 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 …
Real- time Analytics
BOOK A MEETING FR 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 …
Customer Sentiment Analysis
BOOK A MEETING FR 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 …
Personalized Marketing
BOOK A MEETING FR 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 …