Harnessing the Twittersphere: Mining Tweets to Understand Business Responses to Disruptions
Produktnummer:
1826fd9ea68bf84d769f4bdf8bea3c065d
| Autor: | Sheena |
|---|---|
| Themengebiete: | Analyze Business Responses Businesses Disruptions Navigate Challenges Social Media Tweet Back Tweets Tweets Reveal Twitter |
| Veröffentlichungsdatum: | 08.07.2024 |
| EAN: | 9783384283078 |
| Sprache: | Englisch |
| Seitenzahl: | 114 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | tredition |
Produktinformationen "Harnessing the Twittersphere: Mining Tweets to Understand Business Responses to Disruptions"
Disruption Selection: Choose a specific disruption to focus on, such as a recent economic crisis, a major technological innovation, or a significant shift in consumer preferences. Keyword Identification: Identify relevant keywords and hashtags associated with the chosen disruption. This could include the name of the event, industry-specific terms, and brand mentions of key companies involved. Data Collection Tools: Utilize Twitter's search functionalities or employ social media listening tools to collect tweets containing the identified keywords and hashtags. Define a timeframe for data collection, encompassing the period before, during, and after the disruption. Data Preprocessing: Clean and pre-process the collected data. This may involve removing irrelevant tweets, correcting typos, and standardizing language. Sentiment Analysis: Apply sentiment analysis techniques to gauge the emotional tone of the tweets. This can reveal whether companies are communicating with a sense of urgency, optimism, or negativity in response to the disruption. Topic Modeling: Employ topic modeling algorithms to identify recurring themes within the tweets. This can help uncover the key communication strategies and priorities adopted by businesses during the disruption.
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