A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch

@inproceedings{Xiang2012ASA,
  title={A Supervised Approach to Predict Company Acquisition with Factual and Topic Features Using Profiles and News Articles on TechCrunch},
  author={Guang Xiang and Zeyu Zheng and Miaomiao Wen and Jason I. Hong and Carolyn Penstein Ros{\'e} and Chao Liu},
  booktitle={ICWSM},
  year={2012}
}
Merger and Acquisition (M&A) is a critical corporate strategy for companies to preserve their competitive advantages, and M&A prediction has been an interesting and challenging research topic in the past a few decades. However, past work has only adopted numerical features such as accounting, financial and market variables in building models, and yet the valuable textual information from the great variety of social media sites like news portals and microblogs, which discusses tech trends a lot… CONTINUE READING

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