Basic StatisticsBasic Statistics
Top users, hashtags, mentions, URLs, words, and more---
Scraawl SocL’s Basic Statistics dashboard provides real-time insights into all essential statistics for users, hashtags, mentions, words, URLs, locations, and languages related to your search query. Use filtering and drill down capabilities to analyze a conversation in further detail.
Geo-Spatial AnalyticsGeo-Spatial Analytics
Heat maps, geo-referencing, geo-profiling, geo-fencing, and geo-filtering---
Use Scraawl SocL’s advanced geo-spatial analytics to gain a better understanding of audiences and social presence. Analytics based on extraction of geo-coded, geo-profiled, and geo-referenced information provide an in-depth understanding of conversations from specific regions/countries.
Network AnalyticsNetwork Analytics
Influence discovery, community detection, and social and friendship graphs---
Use Scraawl SocL's graph theory-based influence discovery analytics to identify the influential users in a social conversation. Drill down to view specific influencer’s posts and understand the nature of their influence.
Social media analytics is more than likes and impressions; it is also about communities and networks. Leverage Scraawl SocL’s analytics-as-a-filter capability to discover the communities in your social networks and their topics of conversation.
SOCIAL & FRIENDSHIP GRAPHS
Use Scraawl SocL’s social and friendship graphs to understand connections between users.
Social MetricsSocial Metrics
Monitor engagement and reach for your brand---
Use Scraawl SocL’s social metrics analytic to monitor followers, reach, engagement, and impressions and compare them against the competition. For further analytical insights, drill down to see detailed metrics by day, hour, user, or post type.
Natural Language ProcessingNatural Language Processing
Named entities, topic modeling, and sentiment analysis---
Natural language processing to identify people, organizations, and locations.
Scraawl SocL’s topic modeling analytic identifies the themes underlying digital conversations using a language-independent probabilistic model to partition conversations into distinct topical threads. Filter by topic, then apply influence discovery, community detection, or sentiment analysis to get a clearer picture of the conversation.
Scraawl SocL’s machine learning-based approach uses textual and structural features to classify the sentiment of each post as positive, negative, or neutral. Sentiment Analysis helps brands assess if their campaign invokes the right sentiment with their audience.
Image AnalyticsImage Analytics
Media and avatar galleries---
A picture is worth a thousand words and Scraawl SocL’s media gallery helps tell that story. The media gallery provides the images from the collected posts and organizes them by frequency and media type. Use integrated OCR and translation, and export images to PixL for deeper analysis.
View avatars, use integrated OCR and translation, and export avatars to PixL for deeper analysis.
Behavioral AnalyticsBehavioral Analytics
Scraawl SocL offers one of the most advanced Twitter Bot detection analytics on the market. Our bot detection algorithm uses various statistical, temporal, and textual features of the social media posts along with historical information from user profiles to distinguish potential bots from humans.