Text Analytics & Sentiment Analysis Software for Social Media Monitoring
We can help your company provide Twitter analysis (and Facebook analysis, blog analysis, message board analysis, and more) for:
Automatically extract companies and brands and understand the sentiment (tone) being directed towards each.
Use thematic analysis to analyze the concepts present in conversations. Use these themes to show the words that people are naturally using to convey their view of the market.
Mechanically processing sentiment across thousands of concepts and entities leads to a much greater understanding of the semantic map of potential bias/connections in a space.
Scroll down to view a list of brands leveraging our text analytics and sentiment analysis software for social media monitoring applications.
Read our (short, because, you know, social media) paper on "Why Salience is best for analyzing Social Media.
Some highlights from this paper:
- Emoji support - to extract some of the most important emotional indicators
- Deconstruct hashtags - to find the "love" in #ilovelexalytics
- Trusted software- more companies use Salience for Social Monitoring than any other software
"It took 2 engineers only 4 days to integrate Lexalytics' Salience Engine into our content processing pipeline."--Nick Halstead CEO & Founder, Datasift
"We conducted several tests on our data and found Lexalytics to be at the top of the list when it came to results and affordability. Lexalytics was able to provide a solution that exceeded our expectations in ease-of-integration." --Chris McNeilly, VP of Software
At Bottlenose we combine big data with the latest web technologies out there. We’re big fans of Node.js, Elasticsearch and HTML5. Integrating Lexalytics into our Node.js-centric stack was easy, the Salience Python modules allowed us to create high performance HTTP APIs which we could then scale up into our pipeline to get the desired >1000 msg/s throughput we needed. --Dominiek ter Heide, CTO
Lexalytics' enterprise class text mining, coupled with Coveo’s Search & Relevance technology helps take Knowledge Management programs to a broader and deeper level of employee and customer engagement. The ability to auto-generate taxonomies, enrich content with metadata, understand relationships among information in vastly different systems and bring only relevant information and experts into the flow of work are all next-generation capabilities that KM practitioners need to leverage. --Diane Berry, Chief Knowledge Evangelist