Sentiment Analysis: We use AI to determine whether a post is positive, neutral, or negative so you get an overview on the reception of themes relevant to you and can measure your audience's sentiment.
- Abnormality Detection: AI helps identify unusual changes and events on social media platforms, enabling early detection of trends or shifts in public opinion.
Keyword Extraction: This feature extracts crucial words and phrases from social posts, simplifying the aggregation of large data volumes and enhancing trend analysis and overview creation.
- Optimal Posting Times: AI predicts the best times to post based on historical engagement data, optimizing content reach and interaction.
- Entity Extraction: We reduce noise in search results by identifying key entities like people, places, and organizations, which helps in refining search accuracy without manual filters.
- Advanced Relevance Filtering: With the use of AI, we reduce noise and select the most relevant articles for your organization. This is especially useful when searching for relevant content in topics with high coverage such as environmental, political, or other more topic-based searches in real-time.
- Sentiment Analysis: We analyze the tone of media mentions from your organization's perspective – whether they are positive, neutral, or negative from your brand's viewpoint. This provides unique insight into the emotional states of your media visibility from a tailored perspective.
- Speech-to-Text Technology: By converting speech from radio, TV, and online videos into text, we expand our coverage and improve the accuracy of content analysis, far surpassing traditional methods.
- Summarization: AI aids in condensing large volumes of media content into digestible summaries, allowing quick insights into the data’s core messages and trends.
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