  The paper describes the systems submitted to SemEval-2020 Task 8: Memotion by
the `NIT-Agartala-NLP-Team'. A dataset of 8879 memes was made available by the
task organizers to train and test our models. Our systems include a Logistic
Regression baseline, a BiLSTM + Attention-based learner and a transfer learning
approach with BERT. For the three sub-tasks A, B and C, we attained ranks
24/33, 11/29 and 15/26, respectively. We highlight our difficulties in
harnessing image information as well as some techniques and handcrafted
features we employ to overcome these issues. We also discuss various modelling
issues and theorize possible solutions and reasons as to why these problems
persist.
