Sentiment Analysis & Monitoring

1. Data Collection

Analysts collect data from various sources, including social media platforms, news articles, forums, blogs, and other online sources. They gather relevant text data that reflects public sentiment and opinions.

2. Text processing and analysis

Analysts use natural language processing techniques to process and analyze the collected text data. They employ algorithms and tools to extract sentiment-related information, such as positive, negative, or neutral sentiments, and identify key themes, topics, or emotions expressed in the data.

3. Sentiment classification

Analysts classify the collected text data into sentiment categories, such as positive, negative, or neutral, based on predefined criteria or machine learning algorithms. This helps in quantifying and understanding the overall sentiment surrounding a particular subject.

4. Trend identification

Analysts identify trends and patterns in sentiment over time. They analyze changes in sentiment levels, spikes in positive or negative sentiment, or shifts in public opinion to identify significant events or factors influencing sentiment.

5. Event-specific analysis

Analysts focus on sentiment analysis related to specific events, such as product launches, corporate announcements, political campaigns, or social movements. They assess public sentiment before, during, and after these events to understand their impact on public opinion and gauge the effectiveness of communication strategies.

6. Stakeholder analysis

Analysts identify key stakeholders and influencers within a given context. They analyze the sentiment expressed by these stakeholders, such as influential individuals, media outlets, or organizations, to understand their perspectives and potential impact on public sentiment 

7. Reputation management

Analysts assist in monitoring and managing the reputation of individuals, organizations, or brands. They identify potential reputational risks, analyze sentiment towards the entity, and provide recommendations for mitigating negative sentiment or enhancing positive sentiment.

8. Early warning and crisis response

Analysts provide early warning indicators by monitoring sentiment trends. Sudden shifts in sentiment or the emergence of negative sentiment patterns can signal potential crises or reputational risks. Analysts alert relevant stakeholders, enabling them to take proactive measures to address emerging issues and manage potential crises effectively.

9. Reporting and communication

Analysts prepare reports summarizing sentiment analysis findings and insights. These reports provide stakeholders with actionable information, highlighting sentiment trends, key themes, influential factors, and recommendations for reputation management or communication strategies.