News Monitoring Services With Video AI

Machine learning-based news monitoring services analyze your media coverage to help manage your brand reputation. They monitor news data streams and notify you timely about brand mentions and other topics that are in your interest. News monitoring services are used in several industries like marketing agencies, public relations agencies, government offices, corporate brands, retail chains, and even NGOs. In this article, we talk about how news media monitoring services offer you in-depth insights armed with video AI.

What is News Monitoring?

When you scrutinize what is being said and published about you in different news sources, including online news publications, discussion forums, radio, podcasts, magazines, blogs, and even social media, it is called news monitoring. News monitoring services, powered by a sentiment analyzer, are needed now more than ever, when every action by a company, its employees, brand ambassadors, or even organizations it is associated with, comes under deep scrutiny, which in turn hurts the company’s financial stability.

The Need For News Monitoring Services

Organizations and brands need news surveillance all the time because there is so much social media-driven user-generated content that can be published without citations or fact checks, and anybody can get this information at the touch of their fingertips. Apart from this, news monitoring services are critical because the insights they provide enable companies to:

  1. Plan crisis management.

  2. Monitor brand influencers and ambassadors.

  3. Identify emerging trends through voice of the customer (VoC) analysis.

  4. Timely track and respond to brand mentions across all social channels as well as other online media.

  5. Organize brand mentions by theme, topic, and features.

  6. Understand a brand’s market perception by what customers are saying.

  7. Analyze competitor behavior.

  8. Automate the time-consuming task of manually analyzing data from numerous news sources.

  9. Create relevant and more meaningful advertising campaigns.

  10. Identify areas that need improvement and areas that need to be amplified.

How do News Media Monitoring Services work?

News monitoring platforms are powered by ML algorithms that ingest pre-processed data, process it, and then present it to the user. The entire process is as follows:

Step 1 - Data Collection

News monitoring services collect data from various sources such as television, magazines, radio, podcasts, videos, etc. to [analyze the sentiment in news](. It is important that these sources are relevant because the resultant insights will be dependent on this. The platform can gather data in two ways:

  • API Data - Data can be uploaded through Live News APIs like Google News API, ESPN API, BBC News API, Bloomberg API, Bing News API, and others like them

  • Manual - If your team has data that has been collected manually through other sources, you can upload them yourself onto the news monitoring system as a .csv file

Step 2 - Data Processing

Intelligent text analysis and sentiment mining tools like Repustate IQ process all the gathered news data in all formats - text, image, video, or audio - seamlessly. Repustate’s news media monitoring service also analyzes video data through its robust video content analysis (VCA) capability. The video AI feature undertakes the following tasks to obtain insights:

  • Audio transcription - The audio from the video (it also does this with radio or podcast data) is transcribed through speech to text software

  • Caption overlay - All captions in the video are extracted and analyzed for features, entities, or topics that are categorized as key

  • Image overlay - All images are recognized and captured through optical character recognition (OCR)

  • Logo recognition - All logos that appear in the video background, including on the clothes of the presenter and on objects like mugs, posters, bags, etc. are extracted

  • Text extraction- The ML engine for news surveillance collates all text from the video audio, and converts all logos and brands into text, extracting them for sentiment analysis. This includes emojis and hashtags

Step 3 - Data Analysis

Now that the data has been gathered and processed, the news monitoring platform will analyze it for languages, custom tags, and sentiment.

  • Training the model - A training dataset will be created to train the machine learning platform by manually cleaning up the text and annotating it.

  • Multilingual data - Platforms like Repustate IQ will analyze each language the text is in, individually, through multilingual data processing. In this case, the platform does not translate the text, rather uses speech taggers for each language to read it natively

  • Custom Industry Tags - Custom tags for aspects and themes are created in the news monitoring services for brand mentions, locations, product name, etc depending on the industry such as healthcare, retail, aerospace, and the like

  • Topic Classification - Topic classifiers attach a particular theme to a text for mapping. “The remote cars were expensive, but the stuffed toys and Barbie dolls were really reasonable.”, will be tagged as the topic “price”.

  • Sentiment Analysis - Each theme, aspect, and entity is analyzed for sentiment polarity across a range of -1 to +1. Polarity across different aspects like cleanliness, price, convenience, location, speed, functionality, etc, are analyzed and an aggregate score for the brand is generated.

Step 4 - Data Visualization

The news monitoring service platform presents all the insights it has calculated for brand sentiment in the form of graphs and presents it on a sentiment analysis dashboard. This is how a company can get to know how the public perceives it in general, or when there are important timelines like new product launches, press statements by the CEO, stock market fluctuations, etc.

Excited? See Repustate's News Monitoring in action with a LIVE DEMO of REAL DATA

Scope of News Monitoring Services

Scope of News Monitoring Services

  • Monitoring TV broadcasts

News monitoring services review all television news channels for news that directly or indirectly affects you. Depending on the regions or languages that you select for monitoring, the news sentiment analysis platform will scrutinize all data to ensure that any coverage pertaining to you is processed for emotion mining. This can also relate to documentaries or interviews on streaming services like Netflix or Amazon Prime, and not just regular cable television news programs.

  • Radio and podcast monitoring

News media monitoring services can also gather information from radio stations and podcasts from different apps and streaming services. Just like videos, the news analysis engine will translate all audio into text formats before categorizing, tagging, and conducting sentiment analysis. Learn more about audio analysis.

  • Monitor news websites

News websites contain a lot of information in not just text but also photojournalism and videos. That’s why news sentiment analysis powered by video AI is very crucial to extract insights from online news sources. The OCR capability, in conjunction with video content analysis, parses all the relevant information that can affect your brand and presents all the data in the form of facts, figures, and charts on a user-friendly dashboard.

  • Social media monitoring

Almost every social media channel is used by news agencies today. Social platforms like Facebook have a news section, and Twitter is an ever-ready platform for getting trending information. News monitoring services gather important data using social media sentiment analysis from sources like these using hashtags that can have different news items under the same hashtags. This kind of intricate scrutiny of online data and trending news can be very useful to companies, especially in retail, fashion, or fast-moving products.

  • Forums & review sites monitoring

Discussion forums and review websites are a great way to understand the market and new trends that are emerging. A text analytics API can glean key data so you can have a comparison with current and past data for insights and predictions of market movement. Information like this is used by all organizations, from premium luxury brands to clothing brands, to analyze customer sentiment towards new products, product enhancements, service quality, competitor assessment, and other aspects.

  • Stock trading predictions

Stock market movements can be studied and assessed for impending fluctuations by news media monitoring services easily. A platform like Repustate IQ, can analyze financial news across different countries and sources for information that can affect a company, thus giving them precious data for time-critical decisions. Read this use case to understand more.

News Surveillance Business Use Case

News monitoring services use machine learning to make news analysis more efficient, predictable, and to give you more return on investment. This business case study will tell you how Repustate’s news monitoring and sentiment analysis solution helped Media Info Groep in automating and analyzing data for more than 35,000 companies that include brands like L’Oreal, Sheraton Hotels, RedBull, Jaguar, ING, and Suzuki. You will know details of how Repustate created a trained, customized sentiment analysis model for news publications as well as social media in Dutch and English languages.

Presently, insights from Repustate’s Dutch sentiment analysis API are being used in the many offerings that Media Info Groep provides, including quantitative analysis, campaign research, crisis management, benchmark research, and media relationship management.

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