SentiWordNet is a lexical resource for opinion mining. SentiWordNet assigns to each synset of WordNet three sentiment scores: positivity, negativity, objectivity. SentiWordNet is described in details in the papers:

he Scale Invariant Feature Transform (SIFT) is a method to detect distinctive, invariant image feature points, which easily can be matched between images to perform tasks such as object detection and recognition, or to compute geometrical transformations between images. The open-source SIFT library available here is implemented in C using the OpenCV open-source computer vision library and includes functions for computing SIFT features in images, matching SIFT features between images using kd-trees, and computing geometrical image transforms from feature matches using RANSAC. The library also includes functionality to import and work with image features from both David Lowe’s SIFT detector and the Oxford VGG’s affine covariant feature detectors. The images below depict some of this functionality.