Social Media Analytics
Your textual data can be a source of meaningful customer insights. Our data scientists unearth those insights for you and give your company a better understanding of your customers. We do these through the following services:
- Opinion Mining & Sentiment Analysis
You can now know what your customers are talking about you by understanding the tone of their conversations on social media. With machine learning, the text of the conversation can be classified as positive, negative or neutral. This is called text analysis. It helps you stay tuned to consumer sentiment and ensure a good reputation of your brand.
- Brand Monitoring & Competitive Analysis
Identify your competition on social media and the key influencers in your industry. Keep track of who’s saying what and when.
- Lead Generation
Leads are always hard to come by. But social media can be a goldmine if you know how to search it for prospects. Even tweets and comments can be used to generate good leads.
- Trend Analysis
To stay ahead of the competition it is important analyze your social media insights and understand traffic surges and declines whenever you have a product launch or any new marketing initiative.
Sentiment analysis of Twitter users – 11 Do’s and Don’ts
Sentiment analysis is the analysis of emotions, attitudes and opinions that are useful for making better business decisions. A lot of companies are carrying out sentiment analysis of Twitter users by deriving opinions from their tweets.Download White Paper
The content that you create needs to be analyzed and modified to reach the right target audience and engage them in a meaningful conversation and ultimately, convert them into customers. Our services can help you do that by utilizing these methods:
Our data scientists can help you identify the main concepts contained in a digital asset using data mining, text mining, statistics and AI.
Extract information regarding trademarks, organizations, product names, people and places from web pages and other digital media .
Ensure that your text is not a duplication of someone’s text and avoid plagiarism. You can also find out if someone else is using your text.
Indexing becomes easier with text classification when it is based on keywords. You can organize data and topics based on text for easy retrieval when needed.
The core elements of an article or any other content can be fetched by stripping away boilerplate text. This can help you clean up your website.
Identify the language of a content based on word and context analysis.
Summarize a document based on the sentence structure and content by identifying the key phrases and sentences.