Sentiment analysis of public opinion in Indian languages
Understand how people feel about your leaders, schemes and decisions, not only how often they mention them. We measure positive, negative and neutral sentiment by topic, region, language and platform, and show what is driving each change.
Sentiment by topic, language and day
Beyond counting mentions
Volume alone can mislead. A spike in mentions can mean a scheme is popular, or that it has a problem. Sentiment analysis reads the tone of each post, article and comment, so that you can tell praise from complaint and see which topics are pulling opinion up or down.
Indian social media is written in many scripts and often mixes languages in a single sentence, with sarcasm and local references that generic tools miss. We combine language models suited to Indian content with analyst review, and we report sentiment alongside the reasons behind it, so that the numbers lead to decisions.
What our sentiment analysis includes
Sentiment scoring
Positive, negative and neutral classification for posts, comments, articles and video titles.
Topic drivers
See which issues, statements or events are moving sentiment, with sample posts for context.
Regional views
Sentiment by state, district or constituency where location can be identified.
Language coverage
Hindi, Gujarati, English, Hinglish and transliterated text, with sarcasm and slang checked by analysts.
Trend tracking
Daily and weekly movements compared with events such as announcements, rallies or incidents.
Benchmarking
Compare sentiment across leaders, parties, departments or schemes.
Where sentiment analysis makes a difference
Scheme feedback
Learn how beneficiaries and the public feel about a scheme and which parts draw complaints.
Speeches and announcements
Measure the response to a major speech, budget or policy decision.
Campaign tracking
Follow how voter sentiment moves through an election campaign.
Reputation management
Find and address the sources of negative sentiment early.
How we deliver sentiment analysis
- 1
Define the questions
We agree what you want to understand and the topics to measure.
- 2
Model tuning
Sentiment models tuned on samples of your topics and checked by analysts.
- 3
Tracking
Content scored continuously and reviewed for accuracy.
- 4
Reporting
Dashboards and reports that explain the drivers behind every shift.
Standards and compliance
What every sentiment analysis engagement with P Intelligence follows.
- Analysis uses publicly available content only.
- Findings are reported in aggregate. Individual users are not profiled.
- Accuracy is checked regularly against human review, and methods are explained in every report.
- Client reports are confidential.
Frequently asked questions about sentiment analysis
What is sentiment analysis?
Sentiment analysis classifies the tone of text as positive, negative or neutral. Applied to social media and news, it shows how people feel about a person, scheme or issue over time.
Can sentiment analysis understand Hinglish and sarcasm?
Code-mixed and sarcastic posts are hard for automated tools. We use models suited to Indian content and have analysts review samples, especially on sensitive topics, to keep results reliable.
How is sentiment different from mentions?
Mentions count how often something is discussed. Sentiment shows whether that discussion is favourable or not, and why.
Can we see sentiment for a specific constituency?
Where posts carry location signals or local references, we report sentiment by state, district or constituency. Coverage for very small areas depends on the volume of online conversation.
Do you profile individual social media users?
No. Sentiment is reported in aggregate by topic, region and platform. We do not build profiles of individual users.
Often combined with Sentiment Analysis
Social Media Monitoring
Round-the-clock tracking of X, Facebook, Instagram, YouTube and news portals for your leaders, departments, schemes and issues.
Explore Social Media Monitoring Media & Narrative IntelligenceNarrative Tracking
Spot emerging narratives early, trace where they started and how they spread, and receive daily media intelligence briefs with recommended responses.
Explore Narrative Tracking Election TechnologyVoter Analysis
Booth-level analysis of past results, demographics and survey data that shows where support is strong, where it is soft and where to focus next.
Explore Voter Analysis
Planning sentiment analysis?
Tell us about your department, office or campaign. A practice lead from our New Delhi or Ahmedabad team will reply with next steps.