many researches focus on semantic analysis in opinion mining and get effective results. However, dealing with context dependent opinions is still a challenge. Existing methods have used linguistic rules to cope with this problem, however, when the opinion is irrelevant to its adjacent sentences, the linguistic rules will not work. These special opinions, in this paper, called context indistinct-dependent opinion. We propose a method to predict the orientation of these special opinions. The main idea of our approach is when the review an opinion lies in cannot provide enough contextual information to determine the orientation of opinion, we resort to other reviews discussing the same topic to mine useful contextual information, then use semantic similarity measures to judge the orientation of opinion. Our approach is innovative and experiment shows that the proposed technique is highly effective.

Cooperative advertising programs are usually provided by manufacturers to stimulate retailers investing more in local advertising to increase the sales of their products or services. While previous literature on cooperative advertising mainly focuses on a "single-manufacturer single-retailer" framework, the decision-making framework with "multiple-manufacturer single-retailer" becomes more realistic because of the increasing power of retailers as well as the increased competition among the manufacturers. In view of this, in this paper we investigate the cooperative advertising program in a "two-manufacturer single-retailer" supply chain in three different scenarios; that is, (i) each channel member makes decisions independently; (ii) the retailer is vertically integrated with one manufacturer; (iii) two manufacturers are horizontally integrated. Utilizing differential game theory, the open-loop equilibrium advertising strategies of each channel member are obtained and compared. Also, we investigate the effects of competitive intensity on the firm's profit in three different scenarios by using the numerical analysis.