Sentiment Analytics
Analyze Sentiment from Social Data the Right Way
Get the best sentiment insights on consumer behavior or public perception with sentiment analysis.
Analyze consumer sentiment and public perception accurately
Our sentiment analysis uses a proprietary human-supervised machine learning sentiment detection engine on clean data sets, enabled many large organizations to obtain better actionable insights from higher sentiment accuracy.
We have 12 years of experience in analyzing sentiment on public perception (and opinions) and consumer research using millions of datasets.
We unearth issues, risks, patterns and behaviour from our sentiment analysis reports together with our consulting and communication advisory services to better understand your needs.
Our proprietary AI-driven sentiment analytics are available in multiple languages including local slangs, dialects and sarcasm, enabling the best sentiment insights for our clients.
What we offer
Berkshire Media has established its reputation as a leading sentiment analytics company with strong data analytics capabilities and acumen in multiple industries including the public sector.
We offer the best custom-designed sentiment analytics solution (tools, monitoring dashboards, reporting and alerts), to drive more actionable data-driven insights for crisis management, market research analysis and managing public perception for brands, government and other organizations.
We specialize in data-driven online reputation management from deep-dive sentiment analysis – from daily issue tracking, crisis management, or ad hoc consumer sentiment analysis that combines the best social listening tools and data crawlers (technology), experienced industry analysts (people) and the best processes.
We offer higher sentiment accuracy of up to 99% when processing any text-based data from social media channels, making it the best sentiment analysis (analytics) provider in Malaysia due to the extensive experience of understanding local nuances, sarcasm and dialects.
Our unique differentiation makes it far superior to other sentiment analytics market research companies that deploy a vanilla approach to sentiment analysis or when dealing with large datasets.
Who is it for?
Sentiment analysis (or commonly known as sentiment analytics) is a powerful AI tool that can used to understand basic emotions (positive, negative, neutral) behind text data – often to measure the perception (or overall satisfaction) towards the brand, organization or a person.
This tool (or service) is perfect for businesses, governments, and organizations looking to make smarter decisions, faster.
When to use it?
There are several applications when sentiment analysis is useful for an organization, especially when applied with social media monitoring or issue management. Here are some guidance when to best to use sentiment analysis for your organization.
1. Large Enterprises:
Use sentiment analysis to monitor customer feedback across social media, reviews, and support tickets. Identify brand perception, improve product development, and tailor marketing strategies in real-time.
2. Public Sector & Government Agencies:
Gauge public opinion on policies, events, or social issues. Analyze sentiment from citizen feedback, news coverage, and social platforms to make data-driven decisions that reflect the voice of the people.
3. Financial & Investment Firms:
Track market sentiment from news, analyst reports, and social media to predict trends and manage risks proactively.
4. Healthcare & Pharma:
Analyze patient feedback, surveys, and online forums to improve patient care, product efficacy, and public health strategies.
5. Media & Telecommunications:
Monitor audience sentiment during live events, campaigns, or breaking news. Understand viewer response and optimize content strategy.
75% of the global internet users use their native language.
Measure Sentiment Accurately From Social Data
We offer sentiment accuracy of up to 100% in all our output deliverables to our clients, supported by years of scientific research.
Most traditional sentiment analysis using Natural Language Processing (NLP) method has its limitations. We employ semi-supervised Machine Learning Method that processes unique keywords, and contextual keywords including dialects, slangs etc (in multi-languages) that cannot be processed by NLP or any off-the-shelf AI-enabled tools.
This reduces the sentiment error rate and provides better actionable insights compared to AI-driven sentiment analytics companies.
Sentiment accuracy from tools is between 30% to 60%
Higher Sentiment Accuracy.
Better Decisions
Our proprietary Machine Learning text algorithm engine SENTIROBO® is developed to understand local dialects, slangs and contextual keywords in multiple languages. We have built years of non-dictionary keywords to refine our sentiment accuracy output up to 100% .
Before Data Cleaning
& Sentiment Processing
After Data Cleaning
& Sentiment Processing
Data Preparation
Social media is generally filled with noise, unless you apply the right keywords to extract the relevant data. We prepare the relevant keywords and clean the raw data to eliminate noise and errors. Data preparation is crucial at this stage to determine quality output from your insights.
DATA
Output:
Data Processing
We apply bespoke techniques to mine social media data from multiple platforms. Using our proprietary sentiment text algorithm engine, SENTIROBO®, we cut down processing time with greater sentiment accuracy as keywords are updated regularly by our analysts. This minimizes the data error rate significantly.
INFORMATION
Output:
Actionable Insights
Actionable insights are best derived from clean data and with industry or domain experience. We apply another round of data processing and quality audit on our processed data. Our end output consists of an analysis report that is designed for top management and C-suites. Now you can make better decisions.
INSIGHTS
Output:
Gain More With
Superior Insights.
We cut downtime for you to deliver actionable insights from social media data. Improve your efficiency, accuracy and reduce capital expenditure through our unique monitoring services.
Discover new depth. Analyze user sentiment.
Measure Net Sentiment Score of an individual social media user to unlock more valuable insights from your sentiment analysis dashboard or report. Start identifying brand advocates or detractors based on long-term trends to define new opportunities or better manage your future reputation risks.
Sentiment Analytics Engine
Behind our output lies SENTIROBO®, our proprietary language-independent sentiment analysis engine with machine learning technology. This offers higher accuracy which leads to better insights for organizations. The engine is customizable to process data in any language including local dialects and other non-dictionary based keywords.
Higher accuracy in predicting sentiment will ultimately lead to better decisions to solve business challenges in organizations. Accurate measurement of sentiment can drive and guide organizations toward making operational improvements and reaching communication goals.
Case Study - Public Sentiment on COVID19
Our deep-dive sentiment analytics experience in processing 3.9 million of social media data provides invaluable insights for our clients to manage reputation risks and public perception. The COVID-19 pandemic provides an opportunity for us to showcase our strength and capabilities in managing public perception in Malaysia using sentiment analysis and proactive crisis monitoring.
Measure the net sentiment score and gain more insights
Sentiment analytics using SENTIROBO® was deployed to measure net sentiment scores for each user against the total number of posts posted by the same user. This approach provides better insights into the polarity of opinions between social media users.
Manage reputation risks with regular monitoring and analysis
Through regular monitoring (i.e daily, weekly, monthly), a crisis can be contained and minimized. Our unique approach allows companies to predict the future or turn a crisis into an opportunity. We combine people, process and technology to achieve that.
3,912,156
Social data
1,459,219
unique users
20+
days
10
sub topics
Need better insights?
As communications in the digital world are getting more complex with millions of conversation in social platforms, there are values to be unlocked when you begin with the right steps. We uncover more insights than your conventional tools or existing processes.
Drop us a note and we are more than happy to assist.