Text segmentation has a long history going back to few of the earliest attempts. However, segmenting informal text has resulted in information loss with less 5 accuracy. Embodiments of the present disclosure provide systems and methods for segmenting interactive session text that includes a plurality of input text posts using the information bottleneck method, augmented with sequential continuity constraints. Furthermore, the present disclosure and its embodiments utilize critical non-textual clues such as time between two consecutive posts and people mentions 10 within the posts to reduce information loss. Using the fusion of all textual and non textual information from the input text posts in the proposed information bottleneck approach for text segmentation allows to exploit non-textual information collectively with the text involved in the conversations to achieve better segmentation. I ULI INU. U1 011VVL5. I4 Obtaining a plurality of input text posts pertaining to a 202 plurality of users Computing a distance value for one or more criteria comprising (i) a first criteria that is indicative of a plurality of pairs of adjacent input text posts from the plurality of input text posts, (ii) a second criteria that is indicative of a time - 204 difference between at least two consecutive input text posts, and (iii) a third criteria that is indicative of one or more users from the plurality of users Assigning a weightage to each distance value computed for the one or more criteria 206 Computing a weighted sum based on the assigned 208 weightage Generating based on the one or more criteria, using a corresponding distance value obtained from the weighted sum, a segmented interactive session text from the plurality of input text posts Updating the distance value associated with each of the two or more adjacent input text posts, the time difference and the 212 one or more users
SYSTEMS AND METHODS FOR SEGMENTING INTERACTIVE SESSION TEXT